diff --git a/MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-1-Video-Operations-Basics.ipynb b/MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-1-Video-Operations-Basics.ipynb
index 99c5db9152..99b24047e8 100644
--- a/MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-1-Video-Operations-Basics.ipynb
+++ b/MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-1-Video-Operations-Basics.ipynb
@@ -5,10 +5,10 @@
    "id": "cell-0",
    "metadata": {
     "papermill": {
-     "duration": 0.003006,
-     "end_time": "2026-08-29T17:29:16.610147",
+     "duration": 0.003484,
+     "end_time": "2026-09-06T03:48:15.563609",
      "exception": false,
-     "start_time": "2026-08-29T17:29:16.607141",
+     "start_time": "2026-09-06T03:48:15.560125",
      "status": "completed"
     },
     "tags": []
@@ -47,16 +47,16 @@
    "id": "cell-1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:16.617264Z",
-     "iopub.status.busy": "2026-08-29T17:29:16.615727Z",
-     "iopub.status.idle": "2026-08-29T17:29:16.620771Z",
-     "shell.execute_reply": "2026-08-29T17:29:16.620771Z"
+     "iopub.execute_input": "2026-09-06T03:48:15.570090Z",
+     "iopub.status.busy": "2026-09-06T03:48:15.569886Z",
+     "iopub.status.idle": "2026-09-06T03:48:15.574881Z",
+     "shell.execute_reply": "2026-09-06T03:48:15.574331Z"
     },
     "papermill": {
-     "duration": 0.009627,
-     "end_time": "2026-08-29T17:29:16.621774",
+     "duration": 0.009132,
+     "end_time": "2026-09-06T03:48:15.575644",
      "exception": false,
-     "start_time": "2026-08-29T17:29:16.612147",
+     "start_time": "2026-09-06T03:48:15.566512",
      "status": "completed"
     },
     "tags": [
@@ -90,19 +90,19 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "a12dcf91",
+   "id": "925103e3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:16.627345Z",
-     "iopub.status.busy": "2026-08-29T17:29:16.627345Z",
-     "iopub.status.idle": "2026-08-29T17:29:16.630345Z",
-     "shell.execute_reply": "2026-08-29T17:29:16.630345Z"
+     "iopub.execute_input": "2026-09-06T03:48:15.582492Z",
+     "iopub.status.busy": "2026-09-06T03:48:15.582066Z",
+     "iopub.status.idle": "2026-09-06T03:48:15.585441Z",
+     "shell.execute_reply": "2026-09-06T03:48:15.584911Z"
     },
     "papermill": {
-     "duration": 0.007058,
-     "end_time": "2026-08-29T17:29:16.631403",
+     "duration": 0.007649,
+     "end_time": "2026-09-06T03:48:15.586130",
      "exception": false,
-     "start_time": "2026-08-29T17:29:16.624345",
+     "start_time": "2026-09-06T03:48:15.578481",
      "status": "completed"
     },
     "tags": [
@@ -112,7 +112,8 @@
    "outputs": [],
    "source": [
     "# Parameters\n",
-    "BATCH_MODE = \"true\"\n"
+    "notebook_mode = \"batch\"\n",
+    "skip_widgets = \"True\"\n"
    ]
   },
   {
@@ -120,10 +121,10 @@
    "id": "zfihdt7blaq",
    "metadata": {
     "papermill": {
-     "duration": 0.003007,
-     "end_time": "2026-08-29T17:29:16.636921",
+     "duration": 0.002541,
+     "end_time": "2026-09-06T03:48:15.591584",
      "exception": false,
-     "start_time": "2026-08-29T17:29:16.633914",
+     "start_time": "2026-09-06T03:48:15.589043",
      "status": "completed"
     },
     "tags": []
@@ -138,16 +139,16 @@
    "id": "cell-2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:16.642572Z",
-     "iopub.status.busy": "2026-08-29T17:29:16.642572Z",
-     "iopub.status.idle": "2026-08-29T17:29:23.657173Z",
-     "shell.execute_reply": "2026-08-29T17:29:23.656671Z"
+     "iopub.execute_input": "2026-09-06T03:48:15.597904Z",
+     "iopub.status.busy": "2026-09-06T03:48:15.597576Z",
+     "iopub.status.idle": "2026-09-06T03:49:06.867830Z",
+     "shell.execute_reply": "2026-09-06T03:49:06.867231Z"
     },
     "papermill": {
-     "duration": 7.018604,
-     "end_time": "2026-08-29T17:29:23.658176",
+     "duration": 51.274519,
+     "end_time": "2026-09-06T03:49:06.868703",
      "exception": false,
-     "start_time": "2026-08-29T17:29:16.639572",
+     "start_time": "2026-09-06T03:48:15.594184",
      "status": "completed"
     },
     "tags": []
@@ -166,9 +167,9 @@
      "text": [
       "Helpers video importes\n",
       "Operations de Base sur les Videos\n",
-      "Date : 2026-08-29 19:29:23\n",
-      "Mode : interactive, FPS : 24, Duree : 5s\n",
-      "Sortie : D:\\CoursIA\\.worktrees\\nb13068\\MyIA.AI.Notebooks\\GenAI\\outputs\\video_basics\n"
+      "Date : 2026-09-06 05:49:06\n",
+      "Mode : batch, FPS : 24, Duree : 5s\n",
+      "Sortie : D:\\Dev\\CoursIA-14843-video-step\\MyIA.AI.Notebooks\\GenAI\\outputs\\video_basics\n"
      ]
     }
    ],
@@ -335,10 +336,10 @@
    "id": "md-lecture-amorce",
    "metadata": {
     "papermill": {
-     "duration": 0.003,
-     "end_time": "2026-08-29T17:29:23.663938",
+     "duration": 0.002925,
+     "end_time": "2026-09-06T03:49:06.874576",
      "exception": false,
-     "start_time": "2026-08-29T17:29:23.660938",
+     "start_time": "2026-09-06T03:49:06.871651",
      "status": "completed"
     },
     "tags": []
@@ -367,10 +368,10 @@
    "id": "y61smzz1vyj",
    "metadata": {
     "papermill": {
-     "duration": 0.002563,
-     "end_time": "2026-08-29T17:29:23.669226",
+     "duration": 0.002837,
+     "end_time": "2026-09-06T03:49:06.880309",
      "exception": false,
-     "start_time": "2026-08-29T17:29:23.666663",
+     "start_time": "2026-09-06T03:49:06.877472",
      "status": "completed"
     },
     "tags": []
@@ -385,16 +386,16 @@
    "id": "cell-3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:23.676473Z",
-     "iopub.status.busy": "2026-08-29T17:29:23.675959Z",
-     "iopub.status.idle": "2026-08-29T17:29:24.103270Z",
-     "shell.execute_reply": "2026-08-29T17:29:24.103270Z"
+     "iopub.execute_input": "2026-09-06T03:49:06.887267Z",
+     "iopub.status.busy": "2026-09-06T03:49:06.886786Z",
+     "iopub.status.idle": "2026-09-06T03:49:08.227218Z",
+     "shell.execute_reply": "2026-09-06T03:49:08.226712Z"
     },
     "papermill": {
-     "duration": 0.431972,
-     "end_time": "2026-08-29T17:29:24.104272",
+     "duration": 1.344719,
+     "end_time": "2026-09-06T03:49:08.227937",
      "exception": false,
-     "start_time": "2026-08-29T17:29:23.672300",
+     "start_time": "2026-09-06T03:49:06.883218",
      "status": "completed"
     },
     "tags": []
@@ -417,7 +418,7 @@
       "moviepy : disponible (v2.1.2)\n",
       "ffmpeg-python : disponible\n",
       "decord : disponible\n",
-      "imageio : disponible (v2.37.3)\n",
+      "imageio : disponible (v2.37.2)\n",
       "\n",
       "Dependances disponibles : 4/4\n"
      ]
@@ -499,10 +500,10 @@
    "id": "md-lecture-env",
    "metadata": {
     "papermill": {
-     "duration": 0.003,
-     "end_time": "2026-08-29T17:29:24.109846",
+     "duration": 0.002806,
+     "end_time": "2026-09-06T03:49:08.233840",
      "exception": false,
-     "start_time": "2026-08-29T17:29:24.106846",
+     "start_time": "2026-09-06T03:49:08.231034",
      "status": "completed"
     },
     "tags": []
@@ -531,10 +532,10 @@
    "id": "cell-4",
    "metadata": {
     "papermill": {
-     "duration": 0.003003,
-     "end_time": "2026-08-29T17:29:24.116094",
+     "duration": 0.002728,
+     "end_time": "2026-09-06T03:49:08.239674",
      "exception": false,
-     "start_time": "2026-08-29T17:29:24.113091",
+     "start_time": "2026-09-06T03:49:08.236946",
      "status": "completed"
     },
     "tags": []
@@ -553,16 +554,16 @@
    "id": "cell-5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:24.122599Z",
-     "iopub.status.busy": "2026-08-29T17:29:24.121596Z",
-     "iopub.status.idle": "2026-08-29T17:29:24.678810Z",
-     "shell.execute_reply": "2026-08-29T17:29:24.678810Z"
+     "iopub.execute_input": "2026-09-06T03:49:08.246651Z",
+     "iopub.status.busy": "2026-09-06T03:49:08.246266Z",
+     "iopub.status.idle": "2026-09-06T03:49:09.101514Z",
+     "shell.execute_reply": "2026-09-06T03:49:09.101118Z"
     },
     "papermill": {
-     "duration": 0.562728,
-     "end_time": "2026-08-29T17:29:24.680822",
+     "duration": 0.859673,
+     "end_time": "2026-09-06T03:49:09.102246",
      "exception": false,
-     "start_time": "2026-08-29T17:29:24.118094",
+     "start_time": "2026-09-06T03:49:08.242573",
      "status": "completed"
     },
     "tags": []
@@ -582,28 +583,27 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Frames generees en 0.19s"
+      "Frames generees en 0.18s\n",
+      "  Nombre : 120\n",
+      "  Shape : (480, 640, 3)\n",
+      "  Dtype : uint8\n",
+      "  Memoire : ~105.5 MB\n",
+      "\n",
+      "Assemblage video avec imageio...\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "\n",
-      "  Nombre : 120\n",
-      "  Shape : (480, 640, 3)\n",
-      "  Dtype : uint8\n",
-      "  Memoire : ~105.5 MB\n",
-      "\n",
-      "Assemblage video avec imageio...\n",
-      "Video sauvegardee : D:\\CoursIA\\.worktrees\\nb13068\\MyIA.AI.Notebooks\\GenAI\\outputs\\video_basics\\test_video.mp4\n",
+      "Video sauvegardee : D:\\Dev\\CoursIA-14843-video-step\\MyIA.AI.Notebooks\\GenAI\\outputs\\video_basics\\test_video.mp4\n",
       "  Taille : 64.1 KB\n",
       "  Duree : 5s\n"
      ]
     },
     {
      "data": {
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       "text/plain": [
        "<Figure size 1600x300 with 5 Axes>"
       ]
@@ -716,10 +716,10 @@
    "id": "cell-6",
    "metadata": {
     "papermill": {
-     "duration": 0.004173,
-     "end_time": "2026-08-29T17:29:24.687995",
+     "duration": 0.00294,
+     "end_time": "2026-09-06T03:49:09.108558",
      "exception": false,
-     "start_time": "2026-08-29T17:29:24.683822",
+     "start_time": "2026-09-06T03:49:09.105618",
      "status": "completed"
     },
     "tags": []
@@ -751,16 +751,16 @@
    "id": "cell-7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:24.695584Z",
-     "iopub.status.busy": "2026-08-29T17:29:24.695584Z",
-     "iopub.status.idle": "2026-08-29T17:29:27.571260Z",
-     "shell.execute_reply": "2026-08-29T17:29:27.570758Z"
+     "iopub.execute_input": "2026-09-06T03:49:09.116458Z",
+     "iopub.status.busy": "2026-09-06T03:49:09.116078Z",
+     "iopub.status.idle": "2026-09-06T03:49:11.752673Z",
+     "shell.execute_reply": "2026-09-06T03:49:11.751821Z"
     },
     "papermill": {
-     "duration": 2.881765,
-     "end_time": "2026-08-29T17:29:27.572763",
+     "duration": 2.642053,
+     "end_time": "2026-09-06T03:49:11.753799",
      "exception": false,
-     "start_time": "2026-08-29T17:29:24.690998",
+     "start_time": "2026-09-06T03:49:09.111746",
      "status": "completed"
     },
     "tags": []
@@ -895,10 +895,10 @@
    "id": "00e4ee12",
    "metadata": {
     "papermill": {
-     "duration": 0.007109,
-     "end_time": "2026-08-29T17:29:27.586889",
+     "duration": 0.005061,
+     "end_time": "2026-09-06T03:49:11.764491",
      "exception": false,
-     "start_time": "2026-08-29T17:29:27.579780",
+     "start_time": "2026-09-06T03:49:11.759430",
      "status": "completed"
     },
     "tags": []
@@ -937,16 +937,16 @@
    "id": "8c2ee9fb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:27.601090Z",
-     "iopub.status.busy": "2026-08-29T17:29:27.600090Z",
-     "iopub.status.idle": "2026-08-29T17:29:27.605151Z",
-     "shell.execute_reply": "2026-08-29T17:29:27.605151Z"
+     "iopub.execute_input": "2026-09-06T03:49:11.776890Z",
+     "iopub.status.busy": "2026-09-06T03:49:11.776597Z",
+     "iopub.status.idle": "2026-09-06T03:49:11.781631Z",
+     "shell.execute_reply": "2026-09-06T03:49:11.780821Z"
     },
     "papermill": {
-     "duration": 0.01331,
-     "end_time": "2026-08-29T17:29:27.606718",
+     "duration": 0.012686,
+     "end_time": "2026-09-06T03:49:11.782702",
      "exception": false,
-     "start_time": "2026-08-29T17:29:27.593408",
+     "start_time": "2026-09-06T03:49:11.770016",
      "status": "completed"
     },
     "tags": []
@@ -993,10 +993,10 @@
    "id": "cell-8",
    "metadata": {
     "papermill": {
-     "duration": 0.007987,
-     "end_time": "2026-08-29T17:29:27.620082",
+     "duration": 0.005442,
+     "end_time": "2026-09-06T03:49:11.793945",
      "exception": false,
-     "start_time": "2026-08-29T17:29:27.612095",
+     "start_time": "2026-09-06T03:49:11.788503",
      "status": "completed"
     },
     "tags": []
@@ -1028,16 +1028,16 @@
    "id": "cell-9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:27.634174Z",
-     "iopub.status.busy": "2026-08-29T17:29:27.634174Z",
-     "iopub.status.idle": "2026-08-29T17:29:27.693241Z",
-     "shell.execute_reply": "2026-08-29T17:29:27.692704Z"
+     "iopub.execute_input": "2026-09-06T03:49:11.802234Z",
+     "iopub.status.busy": "2026-09-06T03:49:11.801724Z",
+     "iopub.status.idle": "2026-09-06T03:49:12.027810Z",
+     "shell.execute_reply": "2026-09-06T03:49:12.026862Z"
     },
     "papermill": {
-     "duration": 0.067278,
-     "end_time": "2026-08-29T17:29:27.694443",
+     "duration": 0.232061,
+     "end_time": "2026-09-06T03:49:12.029456",
      "exception": false,
-     "start_time": "2026-08-29T17:29:27.627165",
+     "start_time": "2026-09-06T03:49:11.797395",
      "status": "completed"
     },
     "tags": []
@@ -1049,9 +1049,43 @@
      "text": [
       "\n",
       "--- ANALYSE METADONNEES AVEC FFMPEG-PYTHON ---\n",
-      "==================================================\n",
-      "Erreur ffmpeg probe : Error - ffprobe error (see stderr output for detail)\n",
-      "Note : ffmpeg/ffprobe doit etre installe et dans le PATH\n"
+      "==================================================\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "Informations generales :\n",
+      "  Fichier : test_video.mp4\n",
+      "  Format : QuickTime / MOV\n",
+      "  Duree : 5.00s\n",
+      "  Taille : 64.1 KB\n",
+      "  Bitrate : 105 kbps\n",
+      "  Nombre de flux : 1\n",
+      "\n",
+      "Flux video :\n",
+      "  Codec : h264 (H.264 / AVC / MPEG-4 AVC / MPEG-4 part 10)\n",
+      "  Resolution : 640x480\n",
+      "  FPS : 24.00\n",
+      "  Profil : High\n",
+      "  Pixel format : yuv420p\n",
+      "  Frames totales : 120\n",
+      "\n",
+      "Flux audio : aucun (video muette)\n",
+      "\n",
+      "Tableau recapitulatif :\n",
+      "Propriete                 Valeur                        \n",
+      "-------------------------------------------------------\n",
+      "  Format                    mov,mp4,m4a,3gp,3g2,mj2       \n",
+      "  Codec video               h264                          \n",
+      "  Resolution                640x480                       \n",
+      "  FPS                       24.00                         \n",
+      "  Duree                     5.00s                         \n",
+      "  Bitrate                   105 kbps                      \n",
+      "  Taille                    64.1 KB                       \n",
+      "  Audio                     non                           \n"
      ]
     }
    ],
@@ -1138,10 +1172,10 @@
    "id": "md-lecture-probe",
    "metadata": {
     "papermill": {
-     "duration": 0.003616,
-     "end_time": "2026-08-29T17:29:27.701986",
+     "duration": 0.00341,
+     "end_time": "2026-09-06T03:49:12.038836",
      "exception": false,
-     "start_time": "2026-08-29T17:29:27.698370",
+     "start_time": "2026-09-06T03:49:12.035426",
      "status": "completed"
     },
     "tags": []
@@ -1178,10 +1212,10 @@
    "id": "cell-10",
    "metadata": {
     "papermill": {
-     "duration": 0.005274,
-     "end_time": "2026-08-29T17:29:27.710907",
+     "duration": 0.003204,
+     "end_time": "2026-09-06T03:49:12.045563",
      "exception": false,
-     "start_time": "2026-08-29T17:29:27.705633",
+     "start_time": "2026-09-06T03:49:12.042359",
      "status": "completed"
     },
     "tags": []
@@ -1200,16 +1234,16 @@
    "id": "cell-11",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:27.722559Z",
-     "iopub.status.busy": "2026-08-29T17:29:27.722034Z",
-     "iopub.status.idle": "2026-08-29T17:29:28.093573Z",
-     "shell.execute_reply": "2026-08-29T17:29:28.093573Z"
+     "iopub.execute_input": "2026-09-06T03:49:12.054200Z",
+     "iopub.status.busy": "2026-09-06T03:49:12.053737Z",
+     "iopub.status.idle": "2026-09-06T03:49:12.632481Z",
+     "shell.execute_reply": "2026-09-06T03:49:12.631803Z"
     },
     "papermill": {
-     "duration": 0.379791,
-     "end_time": "2026-08-29T17:29:28.095353",
+     "duration": 0.584207,
+     "end_time": "2026-09-06T03:49:12.633410",
      "exception": false,
-     "start_time": "2026-08-29T17:29:27.715562",
+     "start_time": "2026-09-06T03:49:12.049203",
      "status": "completed"
     },
     "tags": []
@@ -1229,13 +1263,13 @@
       "\n",
       "1. Extraction uniforme (8 frames)\n",
       "  Indices : [0, 17, 34, 51, 68, 85, 102, 119]\n",
-      "  Extraction en 21.3ms\n",
+      "  Extraction en 25.0ms\n",
       "  Shape batch : (8, 480, 640, 3)\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1400x600 with 8 Axes>"
       ]
@@ -1248,10 +1282,10 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "2. Benchmark : frame par frame vs batch\n",
-      "  Sequential (8 frames) : 29.5ms\n",
-      "  Batch (8 frames) : 16.5ms\n",
-      "  Acceleration batch : x1.8\n"
+      "2. Benchmark : huit acces indexes vs un get_batch (5 repetitions, ordre alterne)\n",
+      "  Acces indexes (8 frames) : mediane 16.1ms (dispersion 15.1-17.0ms)\n",
+      "  Batch (8 frames)         : mediane 15.9ms (dispersion 15.4-16.9ms)\n",
+      "  Acceleration batch (médianes) : x1.0 sur lecteur déjà chaud\n"
      ]
     }
    ],
@@ -1309,25 +1343,42 @@
     "    plt.tight_layout()\n",
     "    plt.show()\n",
     "    \n",
-    "    # Benchmark : extraction frame par frame vs batch\n",
-    "    print(\"\\n2. Benchmark : frame par frame vs batch\")\n",
-    "    \n",
-    "    # Frame par frame\n",
-    "    start_time = time.time()\n",
-    "    for idx in indices:\n",
-    "        _ = vr[idx]\n",
-    "    time_sequential = time.time() - start_time\n",
+    "    # Benchmark : huit acces indexes vs un get_batch\n",
+    "    # 5 repetitions en ordre alterne : la mesure porte ses moyennes (mediane,\n",
+    "    # dispersion) et ne privilegie aucun ordre fixe. Lecteur deja chaud : les\n",
+    "    # temps sont ceux de cette experience, pas un facteur transposable tel quel.\n",
+    "    import statistics\n",
+    "    print(\"\\n2. Benchmark : huit acces indexes vs un get_batch (5 repetitions, ordre alterne)\")\n",
     "    \n",
-    "    # Batch\n",
-    "    start_time = time.time()\n",
-    "    _ = vr.get_batch(indices)\n",
-    "    time_batch = time.time() - start_time\n",
+    "    seq_times = []\n",
+    "    batch_times = []\n",
+    "    for rep in range(5):\n",
+    "        if rep % 2 == 0:\n",
+    "            start_time = time.time()\n",
+    "            for idx in indices:\n",
+    "                _ = vr[idx]\n",
+    "            seq_times.append(time.time() - start_time)\n",
+    "            start_time = time.time()\n",
+    "            _ = vr.get_batch(indices)\n",
+    "            batch_times.append(time.time() - start_time)\n",
+    "        else:\n",
+    "            start_time = time.time()\n",
+    "            _ = vr.get_batch(indices)\n",
+    "            batch_times.append(time.time() - start_time)\n",
+    "            start_time = time.time()\n",
+    "            for idx in indices:\n",
+    "                _ = vr[idx]\n",
+    "            seq_times.append(time.time() - start_time)\n",
     "    \n",
-    "    print(f\"  Sequential ({n_extract} frames) : {time_sequential * 1000:.1f}ms\")\n",
-    "    print(f\"  Batch ({n_extract} frames) : {time_batch * 1000:.1f}ms\")\n",
-    "    if time_sequential > 0:\n",
-    "        speedup = time_sequential / max(time_batch, 0.001)\n",
-    "        print(f\"  Acceleration batch : x{speedup:.1f}\")\n",
+    "    med_seq = statistics.median(seq_times)\n",
+    "    med_batch = statistics.median(batch_times)\n",
+    "    print(f\"  Acces indexes ({n_extract} frames) : mediane {med_seq * 1000:.1f}ms \"\n",
+    "          f\"(dispersion {min(seq_times) * 1000:.1f}-{max(seq_times) * 1000:.1f}ms)\")\n",
+    "    print(f\"  Batch ({n_extract} frames)         : mediane {med_batch * 1000:.1f}ms \"\n",
+    "          f\"(dispersion {min(batch_times) * 1000:.1f}-{max(batch_times) * 1000:.1f}ms)\")\n",
+    "    if med_batch > 0:\n",
+    "        speedup = med_seq / med_batch\n",
+    "        print(f\"  Acceleration batch (médianes) : x{speedup:.1f} sur lecteur déjà chaud\")\n",
     "    \n",
     "else:\n",
     "    if not dependencies.get('decord', False):\n",
@@ -1341,10 +1392,10 @@
    "id": "md-lecture-decord",
    "metadata": {
     "papermill": {
-     "duration": 0.004109,
-     "end_time": "2026-08-29T17:29:28.105302",
+     "duration": 0.004137,
+     "end_time": "2026-09-06T03:49:12.641855",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.101193",
+     "start_time": "2026-09-06T03:49:12.637718",
      "status": "completed"
     },
     "tags": []
@@ -1359,13 +1410,18 @@
     "  `imageio.imread` en boucle. Les trois valeurs recoupent la sonde ffmpeg de la\n",
     "  section 3 : mêmes nombres, chemin différent.\n",
     "- **`Indices : [0, 17, 34, 51, 68, 85, 102, 119]`** : 8 frames *uniformément* espacées —\n",
-    "  le pas ≈ 120/8 = 15, premier et dernier index inclusifs. La figure 8 axes ci-dessus\n",
-    "  montre ce strip : la dérive du dégradé y est lisible de gauche à droite.\n",
-    "- **Benchmark** : demander les 8 frames en un seul appel `get_batch` est ~deux fois\n",
-    "  plus rapide que huit `next()` successifs (les temps séquentiel/batch mesurés sont\n",
-    "  dans la sortie ci-dessus). Sur 8 frames c'est anecdotique ; sur 8 000 frames d'un clip réel,\n",
-    "  le même facteur fait la différence entre « interactif » et « pause café ».\n",
-    "  C'est LE argument de decord face à un lecteur naïf.\n",
+    "  le pas est exactement `(120-1)/(8-1) = 17` : `np.linspace(0, total_frames - 1, 8)` répartit\n",
+    "  les index **extrémités incluses** (premier `0` et dernier `119` inclus), et non `120/8 = 15` —\n",
+    "  un pas de 15 s'arrêterait à `105` et la frame finale `119` ne serait jamais lue.\n",
+    "  La figure 8 axes ci-dessus montre ce strip : la dérive du dégradé y est lisible de gauche à droite.\n",
+    "- **Benchmark** : mesuré avec sa méthode — 5 répétitions en ordre alterné, médiane et\n",
+    "  dispersion, sur un lecteur **déjà chaud** — les huit accès indexés `vr[idx]` (chacun\n",
+    "  implique un seek) et le `get_batch` unique sont au même niveau : médianes 16.1 ms et\n",
+    "  15.9 ms, accélération ×1.0. L'ancienne lecture « ~deux fois plus rapide » venait d'une\n",
+    "  mesure unique en ordre fixe — l'artefact exact que les répétitions en ordre alterné\n",
+    "  éliminent. Ces temps sont ceux de **cette expérience** (120 frames, 8 extraites,\n",
+    "  lecteur chaud) : leur facteur ne se transpose pas à un autre clip, et rien ici ne\n",
+    "  prédit le comportement sur 8 000 frames.\n",
     "\n",
     "La shape `batch : (8, 480, 640, 3)` confirme la convention NHWC : la bibliothèque rend\n",
     "un tenseur prêt pour l'affichage matplotlib — sans transposition."
@@ -1376,10 +1432,10 @@
    "id": "8c4f3a22",
    "metadata": {
     "papermill": {
-     "duration": 0.004698,
-     "end_time": "2026-08-29T17:29:28.114115",
+     "duration": 0.004771,
+     "end_time": "2026-09-06T03:49:12.651172",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.109417",
+     "start_time": "2026-09-06T03:49:12.646401",
      "status": "completed"
     },
     "tags": []
@@ -1409,16 +1465,16 @@
    "id": "23dc820b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:28.125075Z",
-     "iopub.status.busy": "2026-08-29T17:29:28.124566Z",
-     "iopub.status.idle": "2026-08-29T17:29:28.130864Z",
-     "shell.execute_reply": "2026-08-29T17:29:28.130344Z"
+     "iopub.execute_input": "2026-09-06T03:49:12.659833Z",
+     "iopub.status.busy": "2026-09-06T03:49:12.659553Z",
+     "iopub.status.idle": "2026-09-06T03:49:12.663816Z",
+     "shell.execute_reply": "2026-09-06T03:49:12.663082Z"
     },
     "papermill": {
-     "duration": 0.014047,
-     "end_time": "2026-08-29T17:29:28.132427",
+     "duration": 0.00959,
+     "end_time": "2026-09-06T03:49:12.664536",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.118380",
+     "start_time": "2026-09-06T03:49:12.654946",
      "status": "completed"
     },
     "tags": []
@@ -1476,10 +1532,10 @@
    "id": "be50b51e",
    "metadata": {
     "papermill": {
-     "duration": 0.005003,
-     "end_time": "2026-08-29T17:29:28.141638",
+     "duration": 0.003672,
+     "end_time": "2026-09-06T03:49:12.672094",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.136635",
+     "start_time": "2026-09-06T03:49:12.668422",
      "status": "completed"
     },
     "tags": []
@@ -1510,16 +1566,16 @@
    "id": "043bd6dc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:28.151664Z",
-     "iopub.status.busy": "2026-08-29T17:29:28.151664Z",
-     "iopub.status.idle": "2026-08-29T17:29:28.157596Z",
-     "shell.execute_reply": "2026-08-29T17:29:28.157596Z"
+     "iopub.execute_input": "2026-09-06T03:49:12.680939Z",
+     "iopub.status.busy": "2026-09-06T03:49:12.680724Z",
+     "iopub.status.idle": "2026-09-06T03:49:12.685028Z",
+     "shell.execute_reply": "2026-09-06T03:49:12.684634Z"
     },
     "papermill": {
-     "duration": 0.013444,
-     "end_time": "2026-08-29T17:29:28.159600",
+     "duration": 0.009357,
+     "end_time": "2026-09-06T03:49:12.685711",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.146156",
+     "start_time": "2026-09-06T03:49:12.676354",
      "status": "completed"
     },
     "tags": []
@@ -1600,10 +1656,10 @@
    "id": "osiqoajduh",
    "metadata": {
     "papermill": {
-     "duration": 0.003706,
-     "end_time": "2026-08-29T17:29:28.167305",
+     "duration": 0.004337,
+     "end_time": "2026-09-06T03:49:12.693918",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.163599",
+     "start_time": "2026-09-06T03:49:12.689581",
      "status": "completed"
     },
     "tags": []
@@ -1623,16 +1679,16 @@
    "id": "cell-12",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:28.178655Z",
-     "iopub.status.busy": "2026-08-29T17:29:28.178655Z",
-     "iopub.status.idle": "2026-08-29T17:29:28.185941Z",
-     "shell.execute_reply": "2026-08-29T17:29:28.185941Z"
+     "iopub.execute_input": "2026-09-06T03:49:12.702442Z",
+     "iopub.status.busy": "2026-09-06T03:49:12.702241Z",
+     "iopub.status.idle": "2026-09-06T03:49:12.709194Z",
+     "shell.execute_reply": "2026-09-06T03:49:12.707986Z"
     },
     "papermill": {
-     "duration": 0.013914,
-     "end_time": "2026-08-29T17:29:28.186944",
+     "duration": 0.012064,
+     "end_time": "2026-09-06T03:49:12.709986",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.173030",
+     "start_time": "2026-09-06T03:49:12.697922",
      "status": "completed"
     },
     "tags": []
@@ -1643,12 +1699,7 @@
      "output_type": "stream",
      "text": [
       "\n",
-      "--- MODE INTERACTIF ---\n",
-      "========================================\n",
-      "Entrez un chemin vers un fichier video pour l'analyser.\n",
-      "(Laissez vide pour passer a la suite)\n",
-      "\n",
-      "Mode interactif non disponible (execution automatisee)\n"
+      "Mode batch - Interface interactive desactivee\n"
      ]
     }
    ],
@@ -1714,10 +1765,10 @@
    "id": "md-lecture-inter",
    "metadata": {
     "papermill": {
-     "duration": 0.004562,
-     "end_time": "2026-08-29T17:29:28.196509",
+     "duration": 0.00381,
+     "end_time": "2026-09-06T03:49:12.717987",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.191947",
+     "start_time": "2026-09-06T03:49:12.714177",
      "status": "completed"
     },
     "tags": []
@@ -1742,10 +1793,10 @@
    "id": "cell-13",
    "metadata": {
     "papermill": {
-     "duration": 0.006505,
-     "end_time": "2026-08-29T17:29:28.207713",
+     "duration": 0.004496,
+     "end_time": "2026-09-06T03:49:12.726603",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.201208",
+     "start_time": "2026-09-06T03:49:12.722107",
      "status": "completed"
     },
     "tags": []
@@ -1773,16 +1824,16 @@
    "id": "cell-14",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2026-08-29T17:29:28.223782Z",
-     "iopub.status.busy": "2026-08-29T17:29:28.223266Z",
-     "iopub.status.idle": "2026-08-29T17:29:28.232502Z",
-     "shell.execute_reply": "2026-08-29T17:29:28.231474Z"
+     "iopub.execute_input": "2026-09-06T03:49:12.735432Z",
+     "iopub.status.busy": "2026-09-06T03:49:12.734958Z",
+     "iopub.status.idle": "2026-09-06T03:49:12.740590Z",
+     "shell.execute_reply": "2026-09-06T03:49:12.740036Z"
     },
     "papermill": {
-     "duration": 0.021027,
-     "end_time": "2026-08-29T17:29:28.234035",
+     "duration": 0.011199,
+     "end_time": "2026-09-06T03:49:12.741497",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.213008",
+     "start_time": "2026-09-06T03:49:12.730298",
      "status": "completed"
     },
     "tags": []
@@ -1795,15 +1846,15 @@
       "\n",
       "--- STATISTIQUES DE SESSION ---\n",
       "========================================\n",
-      "Date : 2026-08-29 19:29:28\n",
-      "Mode : interactive\n",
+      "Date : 2026-09-06 05:49:12\n",
+      "Mode : batch\n",
       "Video de test : 640x480 @ 24fps, 5s\n",
       "\n",
       "Fichiers generes (4) :\n",
       "  concatenated.mp4 (55.0 KB)\n",
       "  test_video.mp4 (64.1 KB)\n",
       "  trimmed.mp4 (32.9 KB)\n",
-      "  with_text_overlay.mp4 (83.1 KB)\n",
+      "  with_text_overlay.mp4 (82.9 KB)\n",
       "\n",
       "Dependances utilisees :\n",
       "  moviepy : utilisee\n",
@@ -1817,7 +1868,7 @@
       "3. Notebook 01-4 : Amelioration video avec Real-ESRGAN (upscaling)\n",
       "4. Notebook 01-5 : Introduction a AnimateDiff (generation text-to-video)\n",
       "\n",
-      "Notebook 01-1 Video Operations termine - 19:29:28\n"
+      "Notebook 01-1 Video Operations termine - 05:49:12\n"
      ]
     }
    ],
@@ -1857,16 +1908,34 @@
    "id": "md-lecture-stats",
    "metadata": {
     "papermill": {
-     "duration": 0.006391,
-     "end_time": "2026-08-29T17:29:28.245985",
+     "duration": 0.00356,
+     "end_time": "2026-09-06T03:49:12.748968",
      "exception": false,
-     "start_time": "2026-08-29T17:29:28.239594",
+     "start_time": "2026-09-06T03:49:12.745408",
      "status": "completed"
     },
     "tags": []
    },
    "source": [
-    "### Lecture du résultat — bilan de session\n\nLes statistiques finales ferment la boucle ouverte à l'amorçage :\n\n- **Trois fichiers, ~152 Ko au total** : `test_video.mp4` (64,1 Ko, la source générée),\n  `trimmed.mp4` (32,9 Ko — 2 s de contenu), `concatenated.mp4` (55,0 Ko — 4 s). Les\n  tailles suivent les durées : le trim pèse environ la moitié de la source, la\n  concaténation un peu plus que le trim grâce au segment conservé. Le bitrate moyen\n  (~105 kbps) est conservé par moviepy à chaque ré-encriture.\n- **`Date : 08:05:47`** contre `08:05:43` à l'amorçage : quatre secondes pour générer,\n  monter, sonder et extraire — la vidéo 640×480 est un objet de laboratoire bon marché.\n- **`moviepy / ffmpeg-python / decord : utilisees`** : chaque dépendance cœur a tenu son\n  rôle exactement une fois (montage / sonde / extraction) ; `imageio` a servi à\n  l'assemblage initial sans apparaître dans ce récapitulatif.\n\nOù aller ensuite : `01-2-GPT-5-Video-Understanding` (comprendre une vidéo par API),\n`01-4-Video-Enhancement-ESRGAN` (sur-échantillonner ses frames) — ou l'exercice bonus dans\n[01-1b-Video-Slideshow-Bonus](01-1b-Video-Slideshow-Bonus.ipynb) pour transformer ces manipulations\nen produit livrable."
+    "### Lecture du résultat — bilan de session\n",
+    "\n",
+    "Les statistiques finales ferment la boucle ouverte à l'amorçage :\n",
+    "\n",
+    "- **Trois fichiers, ~152 Ko au total** : `test_video.mp4` (64,1 Ko, la source générée),\n",
+    "  `trimmed.mp4` (32,9 Ko — 2 s de contenu), `concatenated.mp4` (55,0 Ko — 4 s). Les\n",
+    "  tailles suivent les durées : le trim pèse environ la moitié de la source, la\n",
+    "  concaténation un peu plus que le trim grâce au segment conservé. Le bitrate moyen\n",
+    "  (~105 kbps) est conservé par moviepy à chaque ré-encriture.\n",
+    "- **`Date : 08:05:47`** contre `08:05:43` à l'amorçage : quatre secondes pour générer,\n",
+    "  monter, sonder et extraire — la vidéo 640×480 est un objet de laboratoire bon marché.\n",
+    "- **`moviepy / ffmpeg-python / decord : utilisees`** : chaque dépendance cœur a tenu son\n",
+    "  rôle exactement une fois (montage / sonde / extraction) ; `imageio` a servi à\n",
+    "  l'assemblage initial sans apparaître dans ce récapitulatif.\n",
+    "\n",
+    "Où aller ensuite : `01-2-GPT-5-Video-Understanding` (comprendre une vidéo par API),\n",
+    "`01-4-Video-Enhancement-ESRGAN` (sur-échantillonner ses frames) — ou l'exercice bonus dans\n",
+    "[01-1b-Video-Slideshow-Bonus](01-1b-Video-Slideshow-Bonus.ipynb) pour transformer ces manipulations\n",
+    "en produit livrable."
    ]
   }
  ],
@@ -1903,20 +1972,21 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.13"
+   "version": "3.13.3"
   },
   "papermill": {
    "default_parameters": {},
-   "duration": 14.275423,
-   "end_time": "2026-08-29T17:29:29.243291",
+   "duration": 60.17913,
+   "end_time": "2026-09-06T03:49:13.851599",
    "environment_variables": {},
    "exception": null,
-   "input_path": "01-1-Video-Operations-Basics.ipynb",
-   "output_path": "01-1-Video-Operations-Basics.ipynb",
+   "input_path": "MyIA.AI.Notebooks/GenAI/Video/01-Foundation/01-1-Video-Operations-Basics.ipynb",
+   "output_path": "14843_output.ipynb",
    "parameters": {
-    "BATCH_MODE": "true"
+    "notebook_mode": "batch",
+    "skip_widgets": "True"
    },
-   "start_time": "2026-08-29T17:29:14.967868",
+   "start_time": "2026-09-06T03:48:13.672469",
    "version": "2.6.0"
   }
  },