| Content-adaptive motion estimation algorithm for coarse-grain SVC. | |
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MedLine Citation:
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PMID: 22155957 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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A joint mode of scalable video coding (SVC) uses exhaustive mode and motion searches to select the best prediction mode and motion vector for each macroblock (MB) with high coding efficiency at the cost of computational complexity. If major characteristics of a coding MB such as the complexity of the prediction mode and the motion property can be identified and used in adjusting motion estimation (ME), one can design an algorithm that can adapt coding parameters to the video content. This way, unnecessary mode and motion searches can be avoided. In this paper, we propose a content-adaptive ME for SVC, including analyses of mode complexity and motion property to assist mode and motion searches. An experimental analysis is performed to study inter-layer and spatial correlations in the coding information. Based on the correlations, the motion and mode characteristics of current MB are identified and utilized to adjust each step of ME at the EL including mode decision, search range selection and prediction direction selection. Experimental results show that the proposed algorithm can significantly reduce computational complexity of SVC while maintaining nearly the same RD performance as the original encoder. |
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Authors:
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L Shen; Z Zhang |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-12-01 |
Journal Detail:
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Title: IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Volume: - ISSN: 1941-0042 ISO Abbreviation: - Publication Date: 2011 Dec |
Date Detail:
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Created Date: 2011-12-13 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9886191 Medline TA: IEEE Trans Image Process Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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