Dynamic textures indexing and retrieval based on intrinsic properties

Muwei Jian; Kin Man Lam; Junyu Dong

doi:10.1109/ISCAS.2012.6272178

Dynamic textures indexing and retrieval based on intrinsic properties

Muwei Jian, Kin Man Lam, Junyu Dong

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Abstract

The indexing and retrieval of dynamic textures remains one of the most challenging tasks in both computer vision and computer graphics. This paper first introduces the concept of intrinsic properties of dynamic textures, including Static Texture Features (STF) and Dynamic Texture Features (DTF), and then proposes an efficient method that utilizes these intrinsic properties for the indexing and retrieval of dynamic textures. Our proposed method is evaluated and compared to existing methods based on a variety of video texture samples. Experimental results show that our scheme can produce promising results.

Original language	English
Title of host publication	ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems
Pages	866-869
Number of pages	4
DOIs	https://doi.org/10.1109/ISCAS.2012.6272178
Publication status	Published - 28 Sept 2012
Event	2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 - Seoul, Korea, Republic of Duration: 20 May 2012 → 23 May 2012

Conference

Conference	2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012
Country/Territory	Korea, Republic of
City	Seoul
Period	20/05/12 → 23/05/12

ASJC Scopus subject areas

Hardware and Architecture
Electrical and Electronic Engineering

More information

10.1109/ISCAS.2012.6272178

Cite this

@inproceedings{e47c886ac0d543d59af5bc0e8a7c11d1,

title = "Dynamic textures indexing and retrieval based on intrinsic properties",

abstract = "The indexing and retrieval of dynamic textures remains one of the most challenging tasks in both computer vision and computer graphics. This paper first introduces the concept of intrinsic properties of dynamic textures, including Static Texture Features (STF) and Dynamic Texture Features (DTF), and then proposes an efficient method that utilizes these intrinsic properties for the indexing and retrieval of dynamic textures. Our proposed method is evaluated and compared to existing methods based on a variety of video texture samples. Experimental results show that our scheme can produce promising results.",

author = "Muwei Jian and Lam, {Kin Man} and Junyu Dong",

year = "2012",

month = sep,

day = "28",

doi = "10.1109/ISCAS.2012.6272178",

language = "English",

pages = "866--869",

booktitle = "ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems",

note = "2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012 ; Conference date: 20-05-2012 Through 23-05-2012",

}

TY - GEN

T1 - Dynamic textures indexing and retrieval based on intrinsic properties

AU - Jian, Muwei

AU - Lam, Kin Man

AU - Dong, Junyu

PY - 2012/9/28

Y1 - 2012/9/28

N2 - The indexing and retrieval of dynamic textures remains one of the most challenging tasks in both computer vision and computer graphics. This paper first introduces the concept of intrinsic properties of dynamic textures, including Static Texture Features (STF) and Dynamic Texture Features (DTF), and then proposes an efficient method that utilizes these intrinsic properties for the indexing and retrieval of dynamic textures. Our proposed method is evaluated and compared to existing methods based on a variety of video texture samples. Experimental results show that our scheme can produce promising results.

AB - The indexing and retrieval of dynamic textures remains one of the most challenging tasks in both computer vision and computer graphics. This paper first introduces the concept of intrinsic properties of dynamic textures, including Static Texture Features (STF) and Dynamic Texture Features (DTF), and then proposes an efficient method that utilizes these intrinsic properties for the indexing and retrieval of dynamic textures. Our proposed method is evaluated and compared to existing methods based on a variety of video texture samples. Experimental results show that our scheme can produce promising results.

UR - http://www.scopus.com/inward/record.url?scp=84866602811&partnerID=8YFLogxK

U2 - 10.1109/ISCAS.2012.6272178

DO - 10.1109/ISCAS.2012.6272178

M3 - Conference article published in proceeding or book

SP - 866

EP - 869

BT - ISCAS 2012 - 2012 IEEE International Symposium on Circuits and Systems

T2 - 2012 IEEE International Symposium on Circuits and Systems, ISCAS 2012

Y2 - 20 May 2012 through 23 May 2012

ER -

Dynamic textures indexing and retrieval based on intrinsic properties

Abstract

Conference

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this