Citation

Lin, Weiyao and He, Xiaoyi and Dai, Wenrui and See, John Su Yang and Shinde, Tushar and Xiong, Hongkai and Duan, Lingyu (2020) Key-Point Sequence Lossless Compression for Intelligent Video Analysis. IEEE MultiMedia, 27 (3). pp. 12-22. ISSN 1070-986X

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Abstract

Feature coding has been recently considered to facilitate intelligent video analysis forurban computing. Instead of raw videos, extracted features in the front-end are encoded andtransmitted to the back-end for further processing. In this article, we present a lossless key-pointsequence compression approach for efficient feature coding. The essence of thispredict-and-encode strategy is to eliminate the spatial and temporal redundancies of key pointsin videos. Multiple prediction modes with an adaptive mode selection method are proposed tohandle key-point sequences with various structures and motion. Experimental results validatethe effectiveness of the proposed scheme on four types of widely-used key-point sequences invideo analysis.

Item Type:	Article
Uncontrolled Keywords:	3-D video (Three-dimensional imaging), Three-dimensional displays, Two dimensional displays, Feature extraction, Streaming media, Redundancy, Video coding
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Rosnani Abd Wahab
Date Deposited:	13 Dec 2020 09:36
Last Modified:	13 Dec 2020 09:36
URII:	http://shdl.mmu.edu.my/id/eprint/7821

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