Content-aware layered compound video compression

Shiqi Wang, Jingjing Fu, Yan Lu, Shipeng Li, Wen Gao

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

14 Citations (Scopus)

Abstract

Compound video compression is crucial for remote control and data assessment. In this paper, we propose a content-aware layered video coding scheme as an attempt to efficiently compress the compound video. In this scheme, the compound video is analyzed and processed progressively at three pyramid levels: block, object and layer. Firstly, the compound video is analyzed by a block type classification technique to access each block's spatial and temporal properties. Secondly, the natural video object is detected adaptively in each frame based on the block type. Finally, the compound video content is distributed into different layers and specifically designed video coding algorithms are employed to compress each layer. Experiments demonstrate that our proposed scheme can preserve the advantages of the employed compression algorithms for each layer and outperform each of them in the compound video compression.
Original languageEnglish
Title of host publicationISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems
PublisherIEEE
Pages145-148
ISBN (Electronic)978-1-4673-0219-7
ISBN (Print)978-1-4673-0218-0
DOIs
Publication statusPublished - May 2012
Externally publishedYes
Event2012 IEEE International Symposium on Circuits and Systems (ISCAS 2012) - Seoul, Korea, Republic of
Duration: 20 May 201223 May 2012

Conference

Conference2012 IEEE International Symposium on Circuits and Systems (ISCAS 2012)
Abbreviated titleISCAS 2012
PlaceKorea, Republic of
CitySeoul
Period20/05/1223/05/12

Fingerprint

Dive into the research topics of 'Content-aware layered compound video compression'. Together they form a unique fingerprint.

Cite this