Alice 语言 视频处理基础的高级应用实践

public class VideoCapture extends Applet {
private VideoCanvas canvas;

public void init() {
canvas = new VideoCanvas();
add(canvas);
}

public void start() {
canvas.startCapture();
}

public void stop() {
canvas.stopCapture();
}
}

class VideoCanvas extends Canvas {
private Image videoImage;
private Thread captureThread;

public void startCapture() {
captureThread = new Thread(new Runnable() {
public void run() {
while (true) {
videoImage = getVideoImage();
repaint();
try {
Thread.sleep(100);
} catch (InterruptedException e) {
e.printStackTrace();
}
}
}
});
captureThread.start();
}

public void stopCapture() {
captureThread.interrupt();
}

public void paint(Graphics g) {
if (videoImage != null) {
g.drawImage(videoImage, 0, 0, this);
}
}

public class VideoEncoderDecoder {
public static void encodeVideo(BufferedImage frame, String outputPath) throws IOException {
File outputFile = new File(outputPath);
ImageIO.write(frame, "avi", outputFile);
}

public class VideoEditor extends JFrame {
private JButton cutButton;
private JButton mergeButton;
private JButton effectButton;

public VideoEditor() {
cutButton = new JButton("Cut");
mergeButton = new JButton("Merge");
effectButton = new JButton("Effect");

cutButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
// 实现视频剪辑逻辑，此处省略具体代码
}
});

mergeButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
// 实现视频拼接逻辑，此处省略具体代码
}
});

effectButton.addActionListener(new ActionListener() {
public void actionPerformed(ActionEvent e) {
// 实现视频特效添加逻辑，此处省略具体代码
}
});

JPanel buttonPanel = new JPanel();
buttonPanel.add(cutButton);
buttonPanel.add(mergeButton);
buttonPanel.add(effectButton);

add(buttonPanel, BorderLayout.CENTER);
setSize(300, 200);
setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
setVisible(true);
}

public class VideoAnalysis {
public static void main(String[] args) {
// 加载OpenCV库
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

// 读取视频文件
Mat frame = Imgcodecs.imread("input_video.mp4");

// 人脸检测
MatOfRect faces = new MatOfRect();
Imgproc.HaarClassifierCascade cascade = new Imgproc.HaarClassifierCascade(Imgcodecs.load("haarcascade_frontalface_default.xml"));
cascade.detectMultiScale(frame, faces, 1.1, 2, 0, new Size(30, 30), new Size());

// 绘制人脸矩形框
for (Rect rect : faces.toArray()) {
Imgproc.rectangle(frame, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0), 2);
}

public class VideoEnhancement {
public static void main(String[] args) {
// 加载OpenCV库
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

// 读取视频文件
Mat frame = Imgcodecs.imread("input_video.mp4");

// 去噪
Imgproc.GaussianBlur(frame, frame, new Size(5, 5), 1.5);

// 锐化
Mat sharpened = new Mat();
Imgproc.Laplacian(frame, sharpened, CvType.CV_8UC1);
double alpha = 0.5;
double beta = 0;
Mat sharpened2 = new Mat();
Core.addWeighted(frame, alpha, sharpened, beta, 0, sharpened2);

// 色彩校正
Imgproc.cvtColor(sharpened2, sharpened2, Imgproc.COLOR_BGR2GRAY);
Imgproc.cvtColor(sharpened2, sharpened2, Imgproc.COLOR_GRAY2BGR);

public class VideoRetrieval {
public static void main(String[] args) {
// 加载OpenCV库
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);

// 读取视频文件
Mat frame = Imgcodecs.imread("input_video.mp4");

// 特征检测
FeatureDetector detector = FeatureDetector.create(FeatureDetector.SIFT);
MatOfKeyPoint keypoints = new MatOfKeyPoint();
detector.detect(frame, keypoints);

// 描述符提取
DescriptorExtractor extractor = DescriptorExtractor.create(DescriptorExtractor.SIFT);
Mat descriptors = new Mat();
extractor.compute(frame, keypoints, descriptors);

// 相似度计算
DescriptorMatcher matcher = DescriptorMatcher.create(DescriptorMatcher.FLANNBASED);
MatOfDMatch matches = new MatOfDMatch();
matcher.match(descriptors, descriptors, matches);

// 显示匹配结果
for (DMatch match : matches.toArray()) {
Imgproc.line(frame, keypoints.toList().get(match.queryIdx).pt, keypoints.toList().get(match.trainIdx).pt, new Scalar(255, 0, 0), 2);
}