A novel depth motion vector coding exploiting spatial and inter-component clustering tendency

Shampa Shahriyar, Manzur Murshed, Mortuza Ali, Manoranjan Paul

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    2 Citations (Scopus)

    Abstract

    Motion vectors of depth-maps in multiview and free-viewpoint videos exhibit strong spatial as well as inter-component clustering tendency. This paper presents a novel coding technique that first compresses the multidimensional bitmaps of macroblock mode and then encodes only the non-zero components of motion vectors. The bitmaps are partitioned into disjoint cuboids using binary tree based decomposition so that the 0's and 1's are either highly polarized or further sub-partitioning is unlikely to achieve any compression. Each cuboid is entropy-coded as a unit using binary arithmetic coding. This technique is capable of exploiting the spatial and inter-component correlations efficiently without the restriction of scanning the bitmap in any specific linear order as needed by run-length coding. As encoding of non-zero component values no longer requires denoting the zero value, further compression efficiency is achieved. Experimental results on standard multiview test video sequences have comprehensively demonstrated the superiority of the proposed technique, achieving overall coding gain against the state-of-the-art in the range [22%, 54%] and on average 38%.
    Original languageEnglish
    Title of host publication2015 Visual Communications and Image Processing (VCIP 2015)
    Subtitle of host publicationSingapore, 13 - 16 December 2015 [Proceedings]
    Place of PublicationPiscataway NJ USA
    PublisherIEEE, Institute of Electrical and Electronics Engineers
    Pages1-4
    Number of pages4
    ISBN (Electronic)9781467373142
    ISBN (Print)9781467373159
    DOIs
    Publication statusPublished - 2015
    EventIEEE Visual Communications and Image Processing (VCIP 2015) - Nanyang Technological University, Singapore
    Duration: 13 Dec 201516 Dec 2015
    http://ieee-cas.org/conference/2015-visual-communications-and-image-processing-vcip
    http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7452873

    Conference

    ConferenceIEEE Visual Communications and Image Processing (VCIP 2015)
    Abbreviated titleVCIP 2015
    CountrySingapore
    Period13/12/1516/12/15
    Internet address

    Cite this

    Shahriyar, S., Murshed, M., Ali, M., & Paul, M. (2015). A novel depth motion vector coding exploiting spatial and inter-component clustering tendency. In 2015 Visual Communications and Image Processing (VCIP 2015): Singapore, 13 - 16 December 2015 [Proceedings] (pp. 1-4). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/VCIP.2015.7457774
    Shahriyar, Shampa ; Murshed, Manzur ; Ali, Mortuza ; Paul, Manoranjan. / A novel depth motion vector coding exploiting spatial and inter-component clustering tendency. 2015 Visual Communications and Image Processing (VCIP 2015): Singapore, 13 - 16 December 2015 [Proceedings]. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 1-4
    @inproceedings{fe1548734b564eefa1ae501910e6ed4a,
    title = "A novel depth motion vector coding exploiting spatial and inter-component clustering tendency",
    abstract = "Motion vectors of depth-maps in multiview and free-viewpoint videos exhibit strong spatial as well as inter-component clustering tendency. This paper presents a novel coding technique that first compresses the multidimensional bitmaps of macroblock mode and then encodes only the non-zero components of motion vectors. The bitmaps are partitioned into disjoint cuboids using binary tree based decomposition so that the 0's and 1's are either highly polarized or further sub-partitioning is unlikely to achieve any compression. Each cuboid is entropy-coded as a unit using binary arithmetic coding. This technique is capable of exploiting the spatial and inter-component correlations efficiently without the restriction of scanning the bitmap in any specific linear order as needed by run-length coding. As encoding of non-zero component values no longer requires denoting the zero value, further compression efficiency is achieved. Experimental results on standard multiview test video sequences have comprehensively demonstrated the superiority of the proposed technique, achieving overall coding gain against the state-of-the-art in the range [22{\%}, 54{\%}] and on average 38{\%}.",
    author = "Shampa Shahriyar and Manzur Murshed and Mortuza Ali and Manoranjan Paul",
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    Shahriyar, S, Murshed, M, Ali, M & Paul, M 2015, A novel depth motion vector coding exploiting spatial and inter-component clustering tendency. in 2015 Visual Communications and Image Processing (VCIP 2015): Singapore, 13 - 16 December 2015 [Proceedings]. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 1-4, IEEE Visual Communications and Image Processing (VCIP 2015), Singapore, 13/12/15. https://doi.org/10.1109/VCIP.2015.7457774

    A novel depth motion vector coding exploiting spatial and inter-component clustering tendency. / Shahriyar, Shampa; Murshed, Manzur; Ali, Mortuza; Paul, Manoranjan.

    2015 Visual Communications and Image Processing (VCIP 2015): Singapore, 13 - 16 December 2015 [Proceedings]. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 1-4.

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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    N2 - Motion vectors of depth-maps in multiview and free-viewpoint videos exhibit strong spatial as well as inter-component clustering tendency. This paper presents a novel coding technique that first compresses the multidimensional bitmaps of macroblock mode and then encodes only the non-zero components of motion vectors. The bitmaps are partitioned into disjoint cuboids using binary tree based decomposition so that the 0's and 1's are either highly polarized or further sub-partitioning is unlikely to achieve any compression. Each cuboid is entropy-coded as a unit using binary arithmetic coding. This technique is capable of exploiting the spatial and inter-component correlations efficiently without the restriction of scanning the bitmap in any specific linear order as needed by run-length coding. As encoding of non-zero component values no longer requires denoting the zero value, further compression efficiency is achieved. Experimental results on standard multiview test video sequences have comprehensively demonstrated the superiority of the proposed technique, achieving overall coding gain against the state-of-the-art in the range [22%, 54%] and on average 38%.

    AB - Motion vectors of depth-maps in multiview and free-viewpoint videos exhibit strong spatial as well as inter-component clustering tendency. This paper presents a novel coding technique that first compresses the multidimensional bitmaps of macroblock mode and then encodes only the non-zero components of motion vectors. The bitmaps are partitioned into disjoint cuboids using binary tree based decomposition so that the 0's and 1's are either highly polarized or further sub-partitioning is unlikely to achieve any compression. Each cuboid is entropy-coded as a unit using binary arithmetic coding. This technique is capable of exploiting the spatial and inter-component correlations efficiently without the restriction of scanning the bitmap in any specific linear order as needed by run-length coding. As encoding of non-zero component values no longer requires denoting the zero value, further compression efficiency is achieved. Experimental results on standard multiview test video sequences have comprehensively demonstrated the superiority of the proposed technique, achieving overall coding gain against the state-of-the-art in the range [22%, 54%] and on average 38%.

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    Shahriyar S, Murshed M, Ali M, Paul M. A novel depth motion vector coding exploiting spatial and inter-component clustering tendency. In 2015 Visual Communications and Image Processing (VCIP 2015): Singapore, 13 - 16 December 2015 [Proceedings]. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 1-4 https://doi.org/10.1109/VCIP.2015.7457774