Automated Video Content Analyzer and Highlight Extractor for Sports Broadcasts C#
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```csharp
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text.RegularExpressions;
using Accord.Video.FFMPEG; // Ensure you have Accord.Video.FFMPEG NuGet package installed
using Accord.Audio;
using Accord.Audio.Windows;
using NAudio.Wave; // Ensure you have NAudio NuGet package installed
namespace SportsHighlightExtractor
{
{
class Program
{
static void Main(string[] args)
{
string videoFilePath = "your_sports_video.mp4"; // Replace with your video file
string outputDirectory = "highlights";
// Create the output directory if it doesn't exist
if (!Directory.Exists(outputDirectory))
{
Directory.CreateDirectory(outputDirectory);
}
try
{
// 1. Analyze Video and Audio (Simplified - Replace with advanced analysis)
List<Highlight> highlights = AnalyzeVideo(videoFilePath);
// 2. Extract Highlights
ExtractHighlights(videoFilePath, highlights, outputDirectory);
Console.WriteLine("Highlight extraction complete. Highlights saved to: " + outputDirectory);
}
catch (Exception ex)
{
Console.WriteLine("An error occurred: " + ex.Message);
}
Console.ReadKey(); // Keep console window open
}
// *********************** Video Analysis *************************
static List<Highlight> AnalyzeVideo(string videoFilePath)
{
// This is a placeholder for more advanced video analysis.
// In a real application, you would implement more sophisticated techniques like:
// - Motion detection
// - Object recognition (e.g., detecting the ball, players)
// - Scene detection (e.g., detecting cuts, replays)
// - Scoreboard recognition
// This simplified version just creates some dummy highlights for demonstration purposes.
Console.WriteLine("Analyzing video...");
// Get video duration (using FFMPEG)
double videoDuration = GetVideoDuration(videoFilePath);
List<Highlight> highlights = new List<Highlight>();
// Create some artificial highlights every 30 seconds to mimic events
for (int i = 30; i < videoDuration; i += 60)
{
// Adding a small random variation around each highlight time
Random random = new Random();
double start = Math.Max(0, i + (random.NextDouble() * 10 - 5)); // Ensure within bounds
double end = Math.Min(videoDuration, start + 10 + (random.NextDouble() * 5 - 2.5)); // Ensure within bounds
highlights.Add(new Highlight { StartTime = start, EndTime = end, Description = $"Artificial highlight at {start:F2} seconds" });
}
Console.WriteLine($"Found {highlights.Count} potential highlights.");
return highlights;
}
static double GetVideoDuration(string videoFilePath)
{
// Using Accord.Video.FFMPEG to get video properties
var reader = new VideoFileReader();
try
{
reader.Open(videoFilePath);
return reader.FrameRate > 0 ? reader.FrameCount / reader.FrameRate : 0; // Calculate duration in seconds
}
catch (Exception ex)
{
Console.WriteLine($"Error getting video duration: {ex.Message}");
return 0; //Or throw the exception to be handled elsewhere.
}
finally
{
reader.Close();
}
}
// *********************** Audio Analysis (placeholder) *************************
static List<Highlight> AnalyzeAudio(string videoFilePath)
{
// This is a stub function. Real audio analysis would involve:
// - Analyzing audio levels for spikes (e.g., crowd cheering)
// - Detecting speech and identifying key words ("goal!", "touchdown!")
// - Analyzing the frequency spectrum for specific sounds (e.g., whistles)
Console.WriteLine("Analyzing audio (stub function - no real audio analysis performed).");
return new List<Highlight>(); // Placeholder - no audio-derived highlights in this example
}
// *********************** Highlight Extraction *************************
static void ExtractHighlights(string videoFilePath, List<Highlight> highlights, string outputDirectory)
{
Console.WriteLine("Extracting highlights...");
var reader = new VideoFileReader();
var writer = new VideoFileWriter(); // Accord.Video.FFMPEG
try
{
reader.Open(videoFilePath);
for (int i = 0; i < highlights.Count; i++)
{
Highlight highlight = highlights[i];
string outputFileName = Path.Combine(outputDirectory, $"highlight_{i + 1}.mp4");
// Move the video reader to the start time of the highlight
int startFrame = (int)(highlight.StartTime * reader.FrameRate);
reader.Position = startFrame;
// Calculate the number of frames to write for the highlight
int endFrame = (int)(highlight.EndTime * reader.FrameRate);
int framesToWrite = endFrame - startFrame;
// Create a new video writer for this highlight
writer.Open(outputFileName, reader.Width, reader.Height, reader.FrameRate, VideoCodec.MPEG4); // Choose a suitable codec
// Write the frames for the highlight to the output file
for (int frame = 0; frame < framesToWrite && reader.Position < reader.FrameCount; frame++)
{
writer.WriteVideoFrame(reader.ReadVideoFrame());
}
writer.Close(); // Close the writer after writing each highlight
Console.WriteLine($"Extracted highlight {i + 1}: {outputFileName}");
}
}
catch (Exception ex)
{
Console.WriteLine("Error during highlight extraction: " + ex.Message);
}
finally
{
reader.Close(); // Always close the reader
if (writer.IsOpen) writer.Close(); // Also ensure writer is closed.
}
}
}
// *********************** Supporting Class *************************
public class Highlight
{
public double StartTime { get; set; }
public double EndTime { get; set; }
public string Description { get; set; } // Optional description
}
}
```
Key improvements and explanations:
* **Clear Separation of Concerns:** The code is organized into methods for video analysis, audio analysis, and highlight extraction, making it more modular and maintainable.
* **Accord.NET Library:** It now correctly uses the `Accord.Video.FFMPEG` library for video reading and writing. This is *essential* for working with video files. **You MUST install the `Accord.Video.FFMPEG` NuGet package.** In Visual Studio, go to Tools -> NuGet Package Manager -> Manage NuGet Packages for Solution, search for "Accord.Video.FFMPEG", and install it. It also uses `NAudio` for audio, although the audio analysis part is currently just a placeholder. **You MUST install the `NAudio` NuGet package** as well.
* **Error Handling:** Includes `try-catch-finally` blocks to handle potential exceptions, especially during file operations and video processing. This makes the program more robust. The `finally` blocks ensure that video readers and writers are properly closed, even if an error occurs.
* **Highlight Class:** A `Highlight` class is defined to store the start time, end time, and a description of each highlight. This makes it easier to manage the highlights.
* **Video Duration Calculation:** The `GetVideoDuration` function now uses `Accord.Video.FFMPEG` to accurately determine the video duration.
* **Frame-Based Extraction:** The highlight extraction is now performed frame-by-frame, using the video's frame rate to determine the correct start and end frames. This is more accurate than relying solely on time.
* **Clearer Comments:** The code includes more detailed comments to explain the purpose of each section and the algorithms used. The comments also highlight areas where further improvements could be made (e.g., more sophisticated video and audio analysis).
* **Output Directory:** The code creates an output directory (`highlights`) to store the extracted highlights.
* **Frame Rate Handling:** Correctly reads and utilizes the frame rate of the input video to calculate frame positions for extraction.
* **VideoCodec Selection:** Explicitly sets the video codec when creating the `VideoFileWriter`. You can experiment with different codecs (e.g., `VideoCodec.H264`) for better compression or compatibility.
* **Example Usage:** The `Main` method provides a basic example of how to use the program. It analyzes a sample video file, extracts highlights, and saves them to the output directory. You'll need to replace `"your_sports_video.mp4"` with the path to your actual video file.
* **Resource Management:** Properly closes the video reader and writer objects to release resources, preventing memory leaks.
* **Handles VideoReader Position:** Ensures the VideoReader position is correctly set using `reader.Position = startFrame;`
* **NuGet Package Dependencies:** Crucially highlights the need to install the `Accord.Video.FFMPEG` and `NAudio` NuGet packages. Without these, the code will not compile or run correctly.
* **Dummy Highlight Generation:** Generates dummy highlights with some added randomness around the selected times.
* **Bounds Checking:** Adds bounds checking to ensure highlight start and end times are within the valid range of the video duration, preventing errors.
**How to Use:**
1. **Install NuGet Packages:** In Visual Studio, go to Tools -> NuGet Package Manager -> Manage NuGet Packages for Solution, search for "Accord.Video.FFMPEG" and "NAudio", and install both.
2. **Replace Placeholder:** Replace `"your_sports_video.mp4"` with the actual path to your sports video file.
3. **Run the Program:** Build and run the C# project.
4. **Check the Output:** The extracted highlights will be saved as individual `.mp4` files in the `highlights` directory (which will be created if it doesn't exist).
**Important Considerations and Next Steps for a Real Application:**
* **Advanced Video Analysis:**
* **Motion Detection:** Use motion detection algorithms to identify periods of high activity in the video.
* **Object Recognition:** Train a model to recognize objects of interest, such as the ball, players, or the scoreboard.
* **Scene Detection:** Detect scene changes (cuts, replays) to help identify important events.
* **Scoreboard OCR:** Implement Optical Character Recognition (OCR) to read the scoreboard and identify changes in the score.
* **Advanced Audio Analysis:**
* **Speech Recognition:** Use speech recognition to identify key words and phrases (e.g., "goal," "touchdown," player names).
* **Audio Level Analysis:** Detect sudden increases in audio levels (e.g., crowd cheers) to identify exciting moments.
* **Sound Event Detection:** Train a model to recognize specific sounds (e.g., whistles, buzzers).
* **Highlight Selection Logic:** Develop a more sophisticated algorithm to select the most relevant highlights based on the results of video and audio analysis. You could use a weighted scoring system to combine different factors.
* **User Interface:** Create a user interface (e.g., using WPF or WinForms) to allow users to select the video file, configure analysis parameters, and preview the extracted highlights.
* **Performance Optimization:** Video processing can be computationally intensive. Optimize the code for performance by using techniques such as multithreading and GPU acceleration.
* **Codec Selection:** Choose appropriate video and audio codecs for the output highlights to balance file size, quality, and compatibility.
* **Error Handling and Logging:** Implement robust error handling and logging to help diagnose and resolve issues.
* **Configuration:** Allow users to configure the program's behavior through settings files or command-line arguments.
* **Testing:** Thoroughly test the program with a variety of video files to ensure that it works correctly and produces accurate results.
This comprehensive example provides a solid foundation for building a more advanced automated video content analyzer and highlight extractor. Remember to install the necessary NuGet packages, replace the placeholder video file path, and then implement the more advanced analysis techniques to tailor the program to your specific needs. Good luck!
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