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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kai-Tat Fung Wan-Chi Siu |
| Copyright Year | 2005 |
| Description | Author affiliation: Dept. of Electron. & Inf. Eng., Hong Kong Polytech., Kowloon, China (Kai-Tat Fung; Wan-Chi Siu) |
| Abstract | In video downscaling, simply reusing the motion vectors extracted from an incoming video bitstream may not result in good quality pictures. In this paper, we propose an adaptive motion vector re-composition algorithm using two new measures: the diversity and importance measures of motion vectors. Using the importance measure, our proposed scheme manages to differentiate the most representative motion vector as a consideration to recompose a new motion vector. In addition, the diversity measure provides information for the video transcoder controlling the size of the refinement window to achieve a significant reduction of computational complexity. Experimental results show that our proposed adaptive motion vector re-composition scheme provides a high coding efficiency in terms of both quality and complexity. |
| Sponsorship | IEEE Signal Processing Soc |
| File Size | 1818024 |
| File Format | |
| ISBN | 0780388747 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2005.1415591 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-03-23 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Video compression Transcoding Computational complexity Motion measurement Size control Discrete cosine transforms Video signal processing Data mining Signal processing algorithms Size measurement |
| Content Type | Text |
| Resource Type | Article |
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