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Complexity analysis of video frames by corresponding audio features
- Authors
- Shin, S.H.; Kim, T.Y.
- Issue Date
- Jul-2012
- Keywords
- Audio indexing; Rate-control; Video complexity analysis; Video indexing
- Citation
- SIGMAP 2012, WINSYS 2012 - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems, pp 111 - 114
- Pages
- 4
- Journal Title
- SIGMAP 2012, WINSYS 2012 - Proceedings of the International Conference on Signal Processing and Multimedia Applications and Wireless Information Networks and Systems
- Start Page
- 111
- End Page
- 114
- ISSN
- 0000-0000
- Abstract
- In this paper, we propose a method to estimate the video complexity by using audio features based on human synesthesia factors. By analyzing the features of audio segments related to video frames, we initially estimate the complexity of the video frames and can improve the performance of video compression. The effectiveness of proposed method is verified by applying it to an actual H.264/AVC Rate-Control.
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