Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification

arXiv:2403.08580v1 Announce Type: new
Abstract: Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially when an immense volume of video content is being constantly generated. Traditional methods require video decompression to extract pixel-level features like color, texture, and motion, thereby increasing computational and storage demands. Moreover, these methods often suffer from performance degradation in low-quality videos. We present a novel approach that examines only the post-compression bitstream of a video …

abstract arxiv classification color computational cs.cv cs.mm eess.iv extract features generated multimedia music music video pixel retrieval sport texture type understanding video video classification videos