implementation 'com.microsoft.projectoxford:emotion:1.0.0'
implementation 'com.microsoft.projectoxford:face:1.0.0'

public class VideoEmotionAnalyzer {
    private EmotionServiceClient emotionServiceClient;
    private static final String API_KEY = "YOUR_API_KEY";
    private static final String API_ENDPOINT = "https://YOUR_REGION.api.cognitive.microsoft.com";
    
    public VideoEmotionAnalyzer(Context context) {
        emotionServiceClient = new EmotionServiceRestClient(API_ENDPOINT, API_KEY);
    }
    
    public void analyzeVideoFrames(String videoPath) {
        try {
            MediaMetadataRetriever retriever = new MediaMetadataRetriever();
            retriever.setDataSource(videoPath);
            
            // 获取视频时长(毫秒)
            String durationStr = retriever.extractMetadata(MediaMetadataRetriever.METADATA_KEY_DURATION);
            long durationMs = Long.parseLong(durationStr);
            
            // 每秒提取一帧进行分析
            for (long timeMs = 0; timeMs < durationMs; timeMs += 1000) {
                Bitmap frame = retriever.getFrameAtTime(timeMs * 1000, 
                    MediaMetadataRetriever.OPTION_CLOSEST_SYNC);
                
                if (frame != null) {
                    analyzeFrame(frame);
                }
            }
            
            retriever.release();
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
    
    private void analyzeFrame(Bitmap frame) {
        try {
            // 将Bitmap转换为输入流
            ByteArrayOutputStream output = new ByteArrayOutputStream();
            frame.compress(Bitmap.CompressFormat.JPEG, 100, output);
            ByteArrayInputStream inputStream = new ByteArrayInputStream(output.toByteArray());
            
            // 调用Emotion API
            Emotion[] emotions = emotionServiceClient.recognizeImage(inputStream);
            
            // 处理返回的情绪数据
            for (Emotion emotion : emotions) {
                Scores scores = emotion.scores;
                Log.d("EmotionAnalysis", 
                    String.format("Anger: %.2f, Contempt: %.2f, Disgust: %.2f, Fear: %.2f, " +
                                 "Happiness: %.2f, Neutral: %.2f, Sadness: %.2f, Surprise: %.2f",
                        scores.anger, scores.contempt, scores.disgust, scores.fear,
                        scores.happiness, scores.neutral, scores.sadness, scores.surprise));
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
}

// 在Activity或Fragment中使用
VideoEmotionAnalyzer analyzer = new VideoEmotionAnalyzer(getApplicationContext());
analyzer.analyzeVideoFrames("/path/to/your/video.mp4");