Cuboid Coding of Depth Motion Vectors Using Binary Tree Based Decomposition

Shampa Shahriyar; Manzur Murshed; Mortuza Ali; Manoranjan Paul

doi:10.1109/DCC.2015.43

Cuboid Coding of Depth Motion Vectors Using Binary Tree Based Decomposition

Shampa Shahriyar, Manzur Murshed, Mortuza Ali, Manoranjan Paul

Research output: Other contribution to conference › Poster › peer-review

Abstract

This Motion vectors of depth-maps in multiview and free-viewpoint videos exhibit strongspatial as well as inter-componentclustering tendency. In thispaper, we present a schemethat encodes the motion vector information at the frame level to efficiently exploit thesecorrelations. It arranges the motion vectors ofall the macroblocks of a frame into a 3Dvolume by considering that the horizontal (x-axis) and vertical (y-axis) displacementcomponents belong to adjacent planes (p-axis). Information about the positions ofmacroblocks of identical coding mode is then extracted into different bitmaps. Theproposed scheme first compresses the multidimensional bitmaps of macroblock modeinformation and then encodes only thenon-zero components of motion vectors.

Original language	English
Pages	469-469
Number of pages	1
DOIs	https://doi.org/10.1109/DCC.2015.43
Publication status	Published - 2015
Event	Data Compression Conference - Snowbird, Utah, USA, New Zealand Duration: 07 Apr 2015 → 09 Apr 2015 http://www.cs.brandeis.edu/~dcc/Program.html (conference programs)

Conference

Conference	Data Compression Conference
Country/Territory	New Zealand
Period	07/04/15 → 09/04/15
Internet address	http://www.cs.brandeis.edu/~dcc/Program.html (conference programs)

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10.1109/DCC.2015.43

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abstract = "This Motion vectors of depth-maps in multiview and free-viewpoint videos exhibit strongspatial as well as inter-componentclustering tendency. In thispaper, we present a schemethat encodes the motion vector information at the frame level to efficiently exploit thesecorrelations. It arranges the motion vectors ofall the macroblocks of a frame into a 3Dvolume by considering that the horizontal (x-axis) and vertical (y-axis) displacementcomponents belong to adjacent planes (p-axis). Information about the positions ofmacroblocks of identical coding mode is then extracted into different bitmaps. Theproposed scheme first compresses the multidimensional bitmaps of macroblock modeinformation and then encodes only thenon-zero components of motion vectors.",

author = "Shampa Shahriyar and Manzur Murshed and Mortuza Ali and Manoranjan Paul",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = USA: Institute of Electrical and Electronics Engineers, 2015. Grant ID (550a) = DP130103670. Event dates (773o) = 7-9 April 2015; Parent title (773t) = Data Compression Conference.; Data Compression Conference ; Conference date: 07-04-2015 Through 09-04-2015",

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AU - Shahriyar, Shampa

AU - Murshed, Manzur

AU - Ali, Mortuza

AU - Paul, Manoranjan

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = USA: Institute of Electrical and Electronics Engineers, 2015. Grant ID (550a) = DP130103670. Event dates (773o) = 7-9 April 2015; Parent title (773t) = Data Compression Conference.

PY - 2015

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N2 - This Motion vectors of depth-maps in multiview and free-viewpoint videos exhibit strongspatial as well as inter-componentclustering tendency. In thispaper, we present a schemethat encodes the motion vector information at the frame level to efficiently exploit thesecorrelations. It arranges the motion vectors ofall the macroblocks of a frame into a 3Dvolume by considering that the horizontal (x-axis) and vertical (y-axis) displacementcomponents belong to adjacent planes (p-axis). Information about the positions ofmacroblocks of identical coding mode is then extracted into different bitmaps. Theproposed scheme first compresses the multidimensional bitmaps of macroblock modeinformation and then encodes only thenon-zero components of motion vectors.

AB - This Motion vectors of depth-maps in multiview and free-viewpoint videos exhibit strongspatial as well as inter-componentclustering tendency. In thispaper, we present a schemethat encodes the motion vector information at the frame level to efficiently exploit thesecorrelations. It arranges the motion vectors ofall the macroblocks of a frame into a 3Dvolume by considering that the horizontal (x-axis) and vertical (y-axis) displacementcomponents belong to adjacent planes (p-axis). Information about the positions ofmacroblocks of identical coding mode is then extracted into different bitmaps. Theproposed scheme first compresses the multidimensional bitmaps of macroblock modeinformation and then encodes only thenon-zero components of motion vectors.

U2 - 10.1109/DCC.2015.43

DO - 10.1109/DCC.2015.43

M3 - Poster

SP - 469

EP - 469

T2 - Data Compression Conference

Y2 - 7 April 2015 through 9 April 2015

ER -

Cuboid Coding of Depth Motion Vectors Using Binary Tree Based Decomposition

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