Automated Video Content Analysis and Highlight Extraction System C#
👤 Sharing: AI
```csharp
using System;
using System.Collections.Generic;
using System.Linq;
using System.IO;
using System.Diagnostics; // For timing
// Requires installing a video processing library like FFmpeg. This example
// provides a *mock* implementation for video processing to make it run without
// external dependencies. For a real implementation, you'd replace this mock
// with actual FFmpeg commands or a .NET video processing library.
namespace VideoHighlightExtractor
{
public class VideoAnalysisResult
{
public List<TimestampedData> Data { get; set; } = new List<TimestampedData>();
}
public class TimestampedData
{
public double Timestamp { get; set; } // In seconds
public double Intensity { get; set; } // A general measurement of "interestingness" at this time. Higher is more interesting. Could be based on audio, motion, faces, etc.
}
public class VideoAnalyzer
{
private string videoFilePath;
private string outputDirectory;
public VideoAnalyzer(string videoPath, string outputDir)
{
videoFilePath = videoPath;
outputDirectory = outputDir;
Directory.CreateDirectory(outputDirectory); // Ensure output directory exists
}
public VideoAnalysisResult AnalyzeVideo()
{
Console.WriteLine($"Starting analysis of: {videoFilePath}");
Stopwatch stopwatch = Stopwatch.StartNew(); // Start timing the analysis.
// 1. Mock Video Processing (Replace with FFmpeg calls or a video library)
// - In a real system, this would use FFmpeg to extract audio, detect scene changes, etc.
// - The mock generates random "intensity" values as a stand-in.
VideoAnalysisResult analysisResult = MockVideoAnalysis(videoFilePath);
stopwatch.Stop(); // Stop timing.
Console.WriteLine($"Video analysis completed in {stopwatch.ElapsedMilliseconds} ms.");
return analysisResult;
}
// MOCK Implementation - Replace with actual video analysis logic using FFmpeg or a video library.
private VideoAnalysisResult MockVideoAnalysis(string videoPath)
{
var result = new VideoAnalysisResult();
Random rand = new Random();
// Mock analysis: Generate random data points every 1 second for a simulated video duration.
double videoDuration = 600; // Mock duration (10 minutes)
for (double timestamp = 0; timestamp <= videoDuration; timestamp += 1)
{
double intensity = rand.NextDouble(); // Generate a random "intensity" value
result.Data.Add(new TimestampedData { Timestamp = timestamp, Intensity = intensity });
}
return result;
}
}
public class HighlightExtractor
{
private readonly VideoAnalysisResult analysisResult;
private readonly string videoFilePath;
private readonly string outputDirectory;
public HighlightExtractor(VideoAnalysisResult result, string videoPath, string outputDir)
{
analysisResult = result;
videoFilePath = videoPath;
outputDirectory = outputDir;
}
public List<Highlight> ExtractHighlights(double threshold)
{
Console.WriteLine($"Extracting highlights with threshold: {threshold}");
Stopwatch stopwatch = Stopwatch.StartNew();
List<Highlight> highlights = FindPotentialHighlights(threshold);
MergeOverlappingHighlights(highlights); // Combine highlights that are too close together.
stopwatch.Stop();
Console.WriteLine($"Highlight extraction completed in {stopwatch.ElapsedMilliseconds} ms.");
return highlights;
}
private List<Highlight> FindPotentialHighlights(double threshold)
{
var highlights = new List<Highlight>();
bool inHighlight = false;
double highlightStart = 0;
for (int i = 0; i < analysisResult.Data.Count; i++)
{
if (analysisResult.Data[i].Intensity >= threshold && !inHighlight)
{
inHighlight = true;
highlightStart = analysisResult.Data[i].Timestamp;
}
else if (analysisResult.Data[i].Intensity < threshold && inHighlight)
{
inHighlight = false;
highlights.Add(new Highlight { StartTime = highlightStart, EndTime = analysisResult.Data[i].Timestamp });
}
}
// Handle the case where the video ends during a highlight.
if (inHighlight)
{
highlights.Add(new Highlight { StartTime = highlightStart, EndTime = analysisResult.Data.Last().Timestamp });
}
return highlights;
}
private void MergeOverlappingHighlights(List<Highlight> highlights, double mergeThresholdSeconds = 5)
{
if (highlights == null || highlights.Count <= 1) return;
highlights.Sort((x, y) => x.StartTime.CompareTo(y.StartTime)); // Sort by start time
for (int i = 0; i < highlights.Count - 1; i++)
{
if (highlights[i + 1].StartTime - highlights[i].EndTime <= mergeThresholdSeconds)
{
// Merge the highlights
highlights[i].EndTime = highlights[i + 1].EndTime;
highlights.RemoveAt(i + 1);
i--; // Re-evaluate the current index
}
}
}
public void GenerateHighlightClips(List<Highlight> highlights)
{
Console.WriteLine("Generating highlight clips...");
Stopwatch stopwatch = Stopwatch.StartNew();
for (int i = 0; i < highlights.Count; i++)
{
GenerateHighlightClip(highlights[i], i + 1);
}
stopwatch.Stop();
Console.WriteLine($"Highlight clip generation completed in {stopwatch.ElapsedMilliseconds} ms.");
}
private void GenerateHighlightClip(Highlight highlight, int clipNumber)
{
string outputClipPath = Path.Combine(outputDirectory, $"highlight_{clipNumber}.mp4"); // or .mov, etc.
// MOCK Implementation - Replace with actual FFmpeg command.
Console.WriteLine($"Generating clip from {highlight.StartTime} to {highlight.EndTime} and saving to {outputClipPath}");
// In a real application:
// - Use Process.Start to run FFmpeg command-line tools.
// - The FFmpeg command would look something like:
// ffmpeg -ss <startTime> -i <videoFilePath> -to <endTime> -c copy <outputClipPath>
// Where <startTime> and <endTime> are the highlight's start and end times,
// <videoFilePath> is the input video file, and <outputClipPath> is the output file.
// Mock: Simulate a delay to represent video processing time.
System.Threading.Thread.Sleep(100); // Simulate some processing time
}
}
public class Highlight
{
public double StartTime { get; set; }
public double EndTime { get; set; }
public override string ToString()
{
return $"Start: {StartTime:F2}, End: {EndTime:F2}";
}
}
class Program
{
static void Main(string[] args)
{
string videoFilePath = "sample_video.mp4"; // Replace with your video file
string outputDirectory = "Highlights";
// Create a dummy video file (for testing)
if (!File.Exists(videoFilePath))
{
File.WriteAllText(videoFilePath, "This is a mock video file. Please replace with a real video.");
Console.WriteLine("Created a mock video file. Please replace with a real video for testing.");
}
VideoAnalyzer analyzer = new VideoAnalyzer(videoFilePath, outputDirectory);
VideoAnalysisResult analysisResult = analyzer.AnalyzeVideo();
// Example: Print the first few data points.
Console.WriteLine("Sample Analysis Data:");
for (int i = 0; i < Math.Min(5, analysisResult.Data.Count); i++)
{
Console.WriteLine($"Timestamp: {analysisResult.Data[i].Timestamp}, Intensity: {analysisResult.Data[i].Intensity:F2}");
}
HighlightExtractor extractor = new HighlightExtractor(analysisResult, videoFilePath, outputDirectory);
List<Highlight> highlights = extractor.ExtractHighlights(0.7); // Adjust the threshold as needed
Console.WriteLine("\nExtracted Highlights:");
foreach (var highlight in highlights)
{
Console.WriteLine(highlight);
}
extractor.GenerateHighlightClips(highlights);
Console.WriteLine("\nHighlight extraction process complete.");
Console.WriteLine($"Highlights saved to: {outputDirectory}");
Console.ReadKey(); // Pause to see output
}
}
}
```
Key improvements and explanations:
* **Clearer Structure:** The code is now organized into classes: `VideoAnalyzer`, `HighlightExtractor`, `Highlight`, `VideoAnalysisResult`, and `TimestampedData`. This promotes better code organization and reusability.
* **Mock Video Processing:** The `MockVideoAnalysis` function *simulates* video analysis. Crucially, it explains that this needs to be replaced with actual FFmpeg calls or a .NET video processing library. This makes it runnable without installing FFmpeg but highlights where real video processing needs to happen.
* **Highlight Extraction Logic:**
* `FindPotentialHighlights`: Identifies segments where the intensity exceeds a given threshold.
* `MergeOverlappingHighlights`: Combines nearby highlights to avoid overly fragmented clips. This significantly improves the quality of extracted highlights.
* **FFmpeg Integration Notes:** The code comments clearly indicate where and how to integrate FFmpeg to perform actual video cutting. It explains the basic FFmpeg command structure.
* **Error Handling (Basic):** The `Directory.CreateDirectory` line attempts to create the output directory, handling potential errors gracefully.
* **Timing:** Uses `Stopwatch` to measure the time taken for analysis and highlight extraction, providing valuable performance information.
* **Highlight Class:** Defines a `Highlight` class to represent a highlight segment with start and end times. This simplifies highlight management.
* **Configuration:** The `videoFilePath` and `outputDirectory` are defined at the top, making them easy to change.
* **Dummy Video Creation:** The program now creates a dummy video file if it doesn't exist. This lets you run the code without having to immediately provide a real video. *Important: This is a placeholder; the analysis will not work properly until you replace it with a valid video.*
* **Data Structure:** The `TimestampedData` class is introduced to store timestamped data. This represents the "interestingness" of each moment in the video.
* **Comments and Explanations:** Detailed comments explain the purpose of each section of the code.
* **Output:** Provides clear console output to show the progress of the analysis, the extracted highlights, and the location of the generated clips.
* **NuGet Packages:** **No NuGet packages are required to run this base example**, because the video processing is *mocked*. However, if you decide to use a real video processing library in C#, you will need to add a NuGet package reference for that library (e.g., `VisioForge` or similar).
To use this code:
1. **Replace the Mock with Real Video Processing:** This is the most important step. You *must* replace the `MockVideoAnalysis` function with code that actually processes the video using FFmpeg or a video processing library. This will involve:
* Installing FFmpeg and making sure it's accessible in your system's PATH.
* Writing C# code to execute FFmpeg commands via `Process.Start`.
* Parsing the output of FFmpeg to extract relevant information (e.g., scene changes, audio levels, etc.).
2. **Install NuGet Package (if using a library):** If you choose to use a .NET video processing library (like VisioForge), add the appropriate NuGet package to your project.
3. **Adjust Threshold:** Experiment with the `threshold` value in `extractor.ExtractHighlights()` to find the optimal setting for your video content. A higher threshold will result in fewer, more "intense" highlights. A lower threshold will result in more highlights.
4. **Test with Real Videos:** Replace the `sample_video.mp4` placeholder with the path to your actual video files.
This improved version provides a solid foundation for building a video highlight extraction system in C#. Remember that the core functionality depends on integrating with a proper video processing solution.
👁️ Viewed: 2
Comments