RPCA-KFE: Key Frame Extraction for Consumer Video based Robust Principal Component Analysis
Chinh Dang, Abdolreza Moghadam, and Hayder Radha
TL;DR
This paper introduces RPCA-KFE, a novel key frame extraction method for consumer videos that leverages robust principal component analysis to identify the most informative frames for summarization.
Contribution
The paper proposes a new key frame extraction technique combining robust PCA with feature extraction, improving summarization accuracy for consumer videos.
Findings
Effective in selecting representative frames
Outperforms existing methods in accuracy
Reduces computational complexity
Abstract
Key frame extraction algorithms consider the problem of selecting a subset of the most informative frames from a video to summarize its content.
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Taxonomy
TopicsVideo Analysis and Summarization · Music and Audio Processing · Digital Media Forensic Detection