New class of feature oriented motion estimation for motion pictures

Wan Chi Siu, Yui Lam Chan, Wai Lam Hui

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

Problems that arise from using fast and full search algorithms cause poor motion compensated prediction along with some desirable feature, to which the human visual system is sensitive. A generalized class of algorithms to resolve the problems are proposed. The algorithms are adaptive, which include to consider the characteristics of block motions for typical image sequences, and to have an intelligent classifier to separate blocks containing different features. The motion vectors of these blocks are computed using feature frames and a masking factor. Results showed that this approach gives an improvement in accuracy for motion compensated frames and computational complexity, in comparison with intensity-based block motion estimation methods.
Original languageEnglish
Title of host publicationInternational Conference on Signal Processing Proceedings, ICSP
PublisherIEEE
Pages1092-1095
Number of pages4
Publication statusPublished - 1 Dec 1998
EventProceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98 - Beijing, China
Duration: 12 Oct 199816 Oct 1998

Conference

ConferenceProceedings of the 1998 4th International Conference on Signal Processing Proceedings, ICSP '98
Country/TerritoryChina
CityBeijing
Period12/10/9816/10/98

ASJC Scopus subject areas

  • Signal Processing

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