A novel depth edge prioritization based coding technique to boost-UP HEVC performance

Pallab Podder, Manoranjan Paul, Manzur Murshed

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)
4 Downloads (Pure)

Abstract

In addition to the texture, multiview video employees the utilization of depth coding for the reconstruction of 3D video and Free viewpoint video. Standing on some texture-depth correlations, a number of methods in literature reuses texture motion vector for the corresponding depth coding to reduce encoding time by avoiding costly motion estimation process. However, texture similarity metric is not always equivalent to the corresponding depth similarity metric especially at edge levels. Since their approaches could not explicitly detect and encode acute edge motions of depth objects, eventually, could not reach the similar or improved rate-distortion (RD) performance against High Efficiency Video Coding (HEVC) reference test model (HM). With a view to more accurate motion detection and modeling, the proposed technique exploits an extra Pattern Mode comprising a group of pattern templates (GPTs) with different rectangular and non-rectangular object shapes and edges compared to the existing HEVC block partitioning modes. Selecting an extra mode i.e., the Pattern mode, it can avoid further exploration of modes at next depth levels, thereby reducing encoding time by avoiding further branching. Moreover, the proposed Pattern Mode only encodes the motion areas and skips the background areas. The experimental results show that the proposed technique could save 30% encoding time and improve average 0.1dB Bjontegard Delta peak signal-to-noise ratio (BD-PSNR) compared to the HM.
Original languageEnglish
Title of host publicationIEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application
Subtitle of host publicationMultimedia Big Data Processing and Analytics)
Place of PublicationUSA
PublisherIEEE
Pages1-6
Number of pages6
Publication statusPublished - 2016
Event2016 IEEE International Conference on Multimedia and Expo : ICME 2016 - The Westin Seattle, Seattle, United States
Duration: 11 Jul 201615 Jul 2016
http://www.icme2016.org/

Conference

Conference2016 IEEE International Conference on Multimedia and Expo
CountryUnited States
CitySeattle
Period11/07/1615/07/16
Internet address

Fingerprint

Image coding
Textures
Motion estimation
Signal to noise ratio
Personnel

Cite this

Podder, P., Paul, M., & Murshed, M. (2016). A novel depth edge prioritization based coding technique to boost-UP HEVC performance. In IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application: Multimedia Big Data Processing and Analytics) (pp. 1-6). USA: IEEE.
Podder, Pallab ; Paul, Manoranjan ; Murshed, Manzur. / A novel depth edge prioritization based coding technique to boost-UP HEVC performance. IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application: Multimedia Big Data Processing and Analytics). USA : IEEE, 2016. pp. 1-6
@inproceedings{6b305a970c49492fb3d4ceca75cef0c2,
title = "A novel depth edge prioritization based coding technique to boost-UP HEVC performance",
abstract = "In addition to the texture, multiview video employees the utilization of depth coding for the reconstruction of 3D video and Free viewpoint video. Standing on some texture-depth correlations, a number of methods in literature reuses texture motion vector for the corresponding depth coding to reduce encoding time by avoiding costly motion estimation process. However, texture similarity metric is not always equivalent to the corresponding depth similarity metric especially at edge levels. Since their approaches could not explicitly detect and encode acute edge motions of depth objects, eventually, could not reach the similar or improved rate-distortion (RD) performance against High Efficiency Video Coding (HEVC) reference test model (HM). With a view to more accurate motion detection and modeling, the proposed technique exploits an extra Pattern Mode comprising a group of pattern templates (GPTs) with different rectangular and non-rectangular object shapes and edges compared to the existing HEVC block partitioning modes. Selecting an extra mode i.e., the Pattern mode, it can avoid further exploration of modes at next depth levels, thereby reducing encoding time by avoiding further branching. Moreover, the proposed Pattern Mode only encodes the motion areas and skips the background areas. The experimental results show that the proposed technique could save 30{\%} encoding time and improve average 0.1dB Bjontegard Delta peak signal-to-noise ratio (BD-PSNR) compared to the HM.",
keywords = "HEVC, Depth edge, Motion estimation, Pattern mode, Intermode selection.",
author = "Pallab Podder and Manoranjan Paul and Manzur Murshed",
note = "Imported on 03 May 2017 - DigiTool details were: publisher = USA: IEEE, 2016. Event dates (773o) = 11-15 July 2016; Parent title (773t) = IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application: Multimedia Big Data Processing and Analytics).",
year = "2016",
language = "English",
pages = "1--6",
booktitle = "IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application",
publisher = "IEEE",

}

Podder, P, Paul, M & Murshed, M 2016, A novel depth edge prioritization based coding technique to boost-UP HEVC performance. in IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application: Multimedia Big Data Processing and Analytics). IEEE, USA, pp. 1-6, 2016 IEEE International Conference on Multimedia and Expo , Seattle, United States, 11/07/16.

A novel depth edge prioritization based coding technique to boost-UP HEVC performance. / Podder, Pallab; Paul, Manoranjan; Murshed, Manzur.

IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application: Multimedia Big Data Processing and Analytics). USA : IEEE, 2016. p. 1-6.

Research output: Book chapter/Published conference paperConference paper

TY - GEN

T1 - A novel depth edge prioritization based coding technique to boost-UP HEVC performance

AU - Podder, Pallab

AU - Paul, Manoranjan

AU - Murshed, Manzur

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = USA: IEEE, 2016. Event dates (773o) = 11-15 July 2016; Parent title (773t) = IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application: Multimedia Big Data Processing and Analytics).

PY - 2016

Y1 - 2016

N2 - In addition to the texture, multiview video employees the utilization of depth coding for the reconstruction of 3D video and Free viewpoint video. Standing on some texture-depth correlations, a number of methods in literature reuses texture motion vector for the corresponding depth coding to reduce encoding time by avoiding costly motion estimation process. However, texture similarity metric is not always equivalent to the corresponding depth similarity metric especially at edge levels. Since their approaches could not explicitly detect and encode acute edge motions of depth objects, eventually, could not reach the similar or improved rate-distortion (RD) performance against High Efficiency Video Coding (HEVC) reference test model (HM). With a view to more accurate motion detection and modeling, the proposed technique exploits an extra Pattern Mode comprising a group of pattern templates (GPTs) with different rectangular and non-rectangular object shapes and edges compared to the existing HEVC block partitioning modes. Selecting an extra mode i.e., the Pattern mode, it can avoid further exploration of modes at next depth levels, thereby reducing encoding time by avoiding further branching. Moreover, the proposed Pattern Mode only encodes the motion areas and skips the background areas. The experimental results show that the proposed technique could save 30% encoding time and improve average 0.1dB Bjontegard Delta peak signal-to-noise ratio (BD-PSNR) compared to the HM.

AB - In addition to the texture, multiview video employees the utilization of depth coding for the reconstruction of 3D video and Free viewpoint video. Standing on some texture-depth correlations, a number of methods in literature reuses texture motion vector for the corresponding depth coding to reduce encoding time by avoiding costly motion estimation process. However, texture similarity metric is not always equivalent to the corresponding depth similarity metric especially at edge levels. Since their approaches could not explicitly detect and encode acute edge motions of depth objects, eventually, could not reach the similar or improved rate-distortion (RD) performance against High Efficiency Video Coding (HEVC) reference test model (HM). With a view to more accurate motion detection and modeling, the proposed technique exploits an extra Pattern Mode comprising a group of pattern templates (GPTs) with different rectangular and non-rectangular object shapes and edges compared to the existing HEVC block partitioning modes. Selecting an extra mode i.e., the Pattern mode, it can avoid further exploration of modes at next depth levels, thereby reducing encoding time by avoiding further branching. Moreover, the proposed Pattern Mode only encodes the motion areas and skips the background areas. The experimental results show that the proposed technique could save 30% encoding time and improve average 0.1dB Bjontegard Delta peak signal-to-noise ratio (BD-PSNR) compared to the HM.

KW - HEVC, Depth edge, Motion estimation, Pattern mode, Intermode selection.

M3 - Conference paper

SP - 1

EP - 6

BT - IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application

PB - IEEE

CY - USA

ER -

Podder P, Paul M, Murshed M. A novel depth edge prioritization based coding technique to boost-UP HEVC performance. In IEEE International Conference on Multimedia and Expo Workshops (ICMEW 2016) (Workshop on Emerging Multimedia Systems and Application: Multimedia Big Data Processing and Analytics). USA: IEEE. 2016. p. 1-6