An efficient skip mode competition scheme based on vector clustering and object boundary detection

Sungjei Kim, Sangjae Park, Jinwoo Jeong, Yoonsik Choe

Research output: Contribution to journalArticle

Abstract

In video coding, a portion of skipped macroblocks is highly effective to the coding performance, especially, at low bitrates since, for a skip mode, no additional coding parameters are transmitted except mode index itself. To increase the skip mode occurrence, in this paper, we propose an efficient skip mode competition scheme based on vector clustering of multiple predictive motion vectors (PMV) and boundary detection of moving objects. The proposed scheme selects the best PMV of skip mode optimally among representative PMV candidates which are obtained after the clustering process and switches a more appropriate competition scheme adaptively according to object boundary conditions. Experimental results show that the proposed scheme reduces average 4.31% in BDRATE compared to the KTA 2.6 software.

Original languageEnglish
Pages (from-to)447-453
Number of pages7
Journalieice electronics express
Volume7
Issue number6
DOIs
Publication statusPublished - 2010 Mar 25

Fingerprint

edge detection
coding
Image coding
Switches
Boundary conditions
switches
occurrences
boundary conditions
computer programs

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Electrical and Electronic Engineering

Cite this

@article{a914e5ea46204b748f7c31cdc8f63a23,
title = "An efficient skip mode competition scheme based on vector clustering and object boundary detection",
abstract = "In video coding, a portion of skipped macroblocks is highly effective to the coding performance, especially, at low bitrates since, for a skip mode, no additional coding parameters are transmitted except mode index itself. To increase the skip mode occurrence, in this paper, we propose an efficient skip mode competition scheme based on vector clustering of multiple predictive motion vectors (PMV) and boundary detection of moving objects. The proposed scheme selects the best PMV of skip mode optimally among representative PMV candidates which are obtained after the clustering process and switches a more appropriate competition scheme adaptively according to object boundary conditions. Experimental results show that the proposed scheme reduces average 4.31{\%} in BDRATE compared to the KTA 2.6 software.",
author = "Sungjei Kim and Sangjae Park and Jinwoo Jeong and Yoonsik Choe",
year = "2010",
month = "3",
day = "25",
doi = "10.1587/elex.7.447",
language = "English",
volume = "7",
pages = "447--453",
journal = "IEICE Electronics Express",
issn = "1349-2543",
publisher = "The Institute of Electronics, Information and Communication Engineers (IEICE)",
number = "6",

}

An efficient skip mode competition scheme based on vector clustering and object boundary detection. / Kim, Sungjei; Park, Sangjae; Jeong, Jinwoo; Choe, Yoonsik.

In: ieice electronics express, Vol. 7, No. 6, 25.03.2010, p. 447-453.

Research output: Contribution to journalArticle

TY - JOUR

T1 - An efficient skip mode competition scheme based on vector clustering and object boundary detection

AU - Kim, Sungjei

AU - Park, Sangjae

AU - Jeong, Jinwoo

AU - Choe, Yoonsik

PY - 2010/3/25

Y1 - 2010/3/25

N2 - In video coding, a portion of skipped macroblocks is highly effective to the coding performance, especially, at low bitrates since, for a skip mode, no additional coding parameters are transmitted except mode index itself. To increase the skip mode occurrence, in this paper, we propose an efficient skip mode competition scheme based on vector clustering of multiple predictive motion vectors (PMV) and boundary detection of moving objects. The proposed scheme selects the best PMV of skip mode optimally among representative PMV candidates which are obtained after the clustering process and switches a more appropriate competition scheme adaptively according to object boundary conditions. Experimental results show that the proposed scheme reduces average 4.31% in BDRATE compared to the KTA 2.6 software.

AB - In video coding, a portion of skipped macroblocks is highly effective to the coding performance, especially, at low bitrates since, for a skip mode, no additional coding parameters are transmitted except mode index itself. To increase the skip mode occurrence, in this paper, we propose an efficient skip mode competition scheme based on vector clustering of multiple predictive motion vectors (PMV) and boundary detection of moving objects. The proposed scheme selects the best PMV of skip mode optimally among representative PMV candidates which are obtained after the clustering process and switches a more appropriate competition scheme adaptively according to object boundary conditions. Experimental results show that the proposed scheme reduces average 4.31% in BDRATE compared to the KTA 2.6 software.

UR - http://www.scopus.com/inward/record.url?scp=77950285185&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77950285185&partnerID=8YFLogxK

U2 - 10.1587/elex.7.447

DO - 10.1587/elex.7.447

M3 - Article

VL - 7

SP - 447

EP - 453

JO - IEICE Electronics Express

JF - IEICE Electronics Express

SN - 1349-2543

IS - 6

ER -