Update README.md

README.md

@@ -57,10 +57,23 @@ Here we show how text information is parsed from raw videos.
 
 1. Extracting Video Frames
 
-- A Frame as an Image
+Save each frame as a image.
 
 ![frame_130.jpg](img%2Fframe_130.jpg)
 
 2. OCR on video frame
 
+Apply an OCR model to recognize texts that appear in a frame.
+
 ```[{"box": [[1161.0, 17.0], [1250.0, 20.0], [1249.0, 49.0], [1160.0, 46.0]], "text": "跳过I", "score": 0.8165686130523682}, {"box": [[539.0, 154.0], [724.0, 136.0], [726.0, 158.0], [542.0, 177.0]], "text": "SOURCEUNKNOWN", "score": 0.9888437986373901}, {"box": [[541.0, 475.0], [645.0, 475.0], [645.0, 499.0], [541.0, 499.0]], "text": "不明通讯", "score": 0.9979484677314758}, {"box": [[807.0, 476.0], [976.0, 481.0], [976.0, 508.0], [806.0, 504.0]], "text": "无量塔姬子", "score": 0.9982650876045227}, {"box": [[544.0, 509.0], [1107.0, 534.0], [1106.0, 567.0], [542.0, 542.0]], "text": "防御系统已经解除，我们暂时安全了。但还是", "score": 0.9949256777763367}, {"box": [[548.0, 545.0], [786.0, 558.0], [784.0, 585.0], [546.0, 573.0]], "text": "不知道琪亚娜在哪里。", "score": 0.9898449182510376}]```
+
+3. Vision-Language Understanding
+
+Prompt a performant VLM to understand the frame image as well as OCR result (prevent hallucinations), and output structured information as follows:
+
+```json
+{
+    "role": "无量塔姬子",
+    "content": "防御系统已经解除，我们暂时安全了。但还是不知道琪亚娜在哪里。"
+}
+```