Compact Descriptors for Video Analysis: The Emerging MPEG Standard

Ling-Yu Duan; Vijay Chandrasekhar; Shiqi Wang; Yihang Lou; Jie Lin; Yan Bai; Tiejun Huang; Alex Chichung Kot; Wen Gao

doi:10.1109/MMUL.2018.2873844

Compact Descriptors for Video Analysis: The Emerging MPEG Standard

Ling-Yu Duan^*
, Vijay Chandrasekhar
, Shiqi Wang
, Yihang Lou
, Jie Lin
, Yan Bai
, Tiejun Huang
, Alex Chichung Kot
, Wen Gao

^*Corresponding author for this work

Department of Computer Science

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

67 Citations (Scopus)

Abstract

This paper provides an overview of the on-going compact descriptors for video analysis standard (CDVA) from the ISO/IEC moving pictures experts group (MPEG). MPEG-CDVA targets at defining a standardized bitstream syntax to enable interoperability in the context of video analysis applications. During the developments of MPEGCDVA, a series of techniques aiming to reduce the descriptor size and improve the video representation ability have been proposed. This article describes the new standard that is being developed and reports the performance of these key technical contributions.

Original language	English
Pages (from-to)	44-54
Journal	IEEE Multimedia
Volume	26
Issue number	2
Online published	25 Oct 2018
DOIs	https://doi.org/10.1109/MMUL.2018.2873844
Publication status	Published - Apr 2019

Research Keywords

Compact Descriptor
Deep Learning
Feature extraction
Histograms
MPEG
Servers
Standards
Transform coding
Video Analysis
Visualization

Access Output

10.1109/MMUL.2018.2873844

Other Access Options

Check CityUHK Library

Permanent Link

Right click to copy link

Cite this

@article{cfcfe0233090424c962ffd84d3d7c606,

title = "Compact Descriptors for Video Analysis: The Emerging MPEG Standard",

abstract = "This paper provides an overview of the on-going compact descriptors for video analysis standard (CDVA) from the ISO/IEC moving pictures experts group (MPEG). MPEG-CDVA targets at defining a standardized bitstream syntax to enable interoperability in the context of video analysis applications. During the developments of MPEGCDVA, a series of techniques aiming to reduce the descriptor size and improve the video representation ability have been proposed. This article describes the new standard that is being developed and reports the performance of these key technical contributions.",

keywords = "Compact Descriptor, Deep Learning, Feature extraction, Histograms, MPEG, Servers, Standards, Transform coding, Video Analysis, Visualization",

author = "Ling-Yu Duan and Vijay Chandrasekhar and Shiqi Wang and Yihang Lou and Jie Lin and Yan Bai and Tiejun Huang and Kot, \{Alex Chichung\} and Wen Gao",

year = "2019",

month = apr,

doi = "10.1109/MMUL.2018.2873844",

language = "English",

volume = "26",

pages = "44--54",

journal = "IEEE Multimedia",

issn = "1070-986X",

publisher = "IEEE Computer Society",

number = "2",

}

TY - JOUR

T1 - Compact Descriptors for Video Analysis

T2 - The Emerging MPEG Standard

AU - Duan, Ling-Yu

AU - Chandrasekhar, Vijay

AU - Wang, Shiqi

AU - Lou, Yihang

AU - Lin, Jie

AU - Bai, Yan

AU - Huang, Tiejun

AU - Kot, Alex Chichung

AU - Gao, Wen

PY - 2019/4

Y1 - 2019/4

N2 - This paper provides an overview of the on-going compact descriptors for video analysis standard (CDVA) from the ISO/IEC moving pictures experts group (MPEG). MPEG-CDVA targets at defining a standardized bitstream syntax to enable interoperability in the context of video analysis applications. During the developments of MPEGCDVA, a series of techniques aiming to reduce the descriptor size and improve the video representation ability have been proposed. This article describes the new standard that is being developed and reports the performance of these key technical contributions.

AB - This paper provides an overview of the on-going compact descriptors for video analysis standard (CDVA) from the ISO/IEC moving pictures experts group (MPEG). MPEG-CDVA targets at defining a standardized bitstream syntax to enable interoperability in the context of video analysis applications. During the developments of MPEGCDVA, a series of techniques aiming to reduce the descriptor size and improve the video representation ability have been proposed. This article describes the new standard that is being developed and reports the performance of these key technical contributions.

KW - Compact Descriptor

KW - Deep Learning

KW - Feature extraction

KW - Histograms

KW - MPEG

KW - Servers

KW - Standards

KW - Transform coding

KW - Video Analysis

KW - Visualization

UR - https://www.scopus.com/pages/publications/85055695567

UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85055695567&origin=recordpage

U2 - 10.1109/MMUL.2018.2873844

DO - 10.1109/MMUL.2018.2873844

M3 - RGC 21 - Publication in refereed journal

SN - 1070-986X

VL - 26

SP - 44

EP - 54

JO - IEEE Multimedia

JF - IEEE Multimedia

IS - 2

ER -

Compact Descriptors for Video Analysis: The Emerging MPEG Standard

Abstract

Research Keywords

Access Output

Other Access Options

Permanent Link

Other Files and Links

Fingerprint

Cite this