Extremely low bit-rate video image prediction using adaptive searching method
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Pages (from-to) | 193-196 |
| Journal / Publication | IEE Conference Publication |
| Issue number | 465 I |
| Publication status | Published - 1999 |
Conference
| Title | Proceedings of the 1999 7th International Conference on Image Processing and its Applications |
|---|---|
| City | Manchester, UK |
| Period | 13 - 15 July 1999 |
Link(s)
Abstract
Temporal redundancy of video signal is always utilized in video image compression. To reduce the channel requirement of video signal, motion information of the moving object(s) in image sequence is/are always extracted and represented by motion estimation. Block Matching Algorithm (BMA) is a popular motion estimation scheme. However system complexity and compression capability of existing motion estimation schemes are always non-preferable. A novel motion compensation scheme is proposed in this paper. The adaptive searching technique that have been utilized in still image approximation is adopted in the proposed scheme to achieve high compression capability and low complexity. From experimental result, no bit is required in the proposed scheme to achieved high visual quality image approximation.
Citation Format(s)
Extremely low bit-rate video image prediction using adaptive searching method. / Tsang, P. W M; Lee, W. T.
In: IEE Conference Publication, No. 465 I, 1999, p. 193-196.
In: IEE Conference Publication, No. 465 I, 1999, p. 193-196.
Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal
