Video Summarization for News Clips

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Project Overview:

Objective

The “Video Summarization for News Clips” project aims to create a dataset for training machine learning models to automatically generate concise and informative summaries of news video clips. This dataset will be valuable for news agencies and viewers seeking quick access to the key highlights and information from video news content.

Scope

This project involves collecting video news clips from various sources, including news websites, TV broadcasts, and online platforms, and annotating them with accurate summaries that capture the essential points and highlights of each clip.

Sources

News Websites: Gather video news clips from reputable news websites and online news portals.
TV Broadcasts: Record and collect video news segments from television broadcasts.
Online Platforms: Access publicly available video news content from platforms like YouTube and Vimeo.

Data Collection Metrics

Total Video News Clips: 10,000 clips
News Websites: 6,000
TV Broadcasts: 2,000
Online Platforms: 2,000

Annotation Process

Stages

Video Summarization: Annotate each video news clip with a concise summary that captures the key information, events, and highlights presented in the video.
Metadata Logging: Log metadata, including the source of the clip, date, time, and relevant keywords or topics covered in the news clip.

Annotation Metrics

Video News Clips with Summaries: 10,000
Metadata Logging: 10,000

Quality Assurance

Stages

Annotation Verification: Implement a validation process involving journalism experts to review and verify the accuracy and comprehensiveness of the video summaries.
Data Quality Control: Ensure the removal of clips with low-quality audio or video, as well as any irrelevant or off-topic content.
Data Security: Protect sensitive information, copyrights, and maintain compliance with intellectual property rights.

QA Metrics

Annotation Validation Cases: 1,000 (10% of total)
Data Cleansing: Remove low-quality, irrelevant, or off-topic clips

Conclusion

The “Video Summarization for News Clips” dataset is a valuable resource for news agencies and viewers looking to access concise and informative summaries of news video content. With accurately annotated video news clips and comprehensive metadata, this dataset empowers the development of advanced video summarization models and tools that can save time, provide quick access to news highlights, and enhance the news-watching experience. It contributes to the efficiency and accessibility of news consumption in a fast-paced digital world.