What can expressive semantics tell: Retrieval model for a Flash-movie search engine

Dawei Ding; Jun Yang; Qing Li; Wenyin Liu; Liping Wang

What can expressive semantics tell: Retrieval model for a Flash-movie search engine

Dawei Ding
, Jun Yang
, Qing Li
, Wenyin Liu
, Liping Wang

Research output: Journal article publication › Conference article › Academic research › peer-review

Abstract

Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are unpractical to build a content-based Flash search engine. To address this problem, our paper proposes expressive semantics (ETS model) for bridging the gap between low-level features and user queries. A Flash search engine is built based on the expressive semantics of Flash movies and our experiment results confirm that expressive semantics is a promising approach to understanding and hence searching Flash movies more efficiently.

Original language	English
Pages (from-to)	123-133
Number of pages	11
Journal	Lecture Notes in Computer Science
Volume	3568
Publication status	Published - 17 Oct 2005
Externally published	Yes
Event	4th International Conference on Image and Video Retrieval, CIVR 2005 - , Singapore Duration: 20 Jul 2005 → 22 Jul 2005

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Cite this

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title = "What can expressive semantics tell: Retrieval model for a Flash-movie search engine",

abstract = "Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are unpractical to build a content-based Flash search engine. To address this problem, our paper proposes expressive semantics (ETS model) for bridging the gap between low-level features and user queries. A Flash search engine is built based on the expressive semantics of Flash movies and our experiment results confirm that expressive semantics is a promising approach to understanding and hence searching Flash movies more efficiently.",

author = "Dawei Ding and Jun Yang and Qing Li and Wenyin Liu and Liping Wang",

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AU - Ding, Dawei

AU - Yang, Jun

AU - Li, Qing

AU - Liu, Wenyin

AU - Wang, Liping

PY - 2005/10/17

Y1 - 2005/10/17

N2 - Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are unpractical to build a content-based Flash search engine. To address this problem, our paper proposes expressive semantics (ETS model) for bridging the gap between low-level features and user queries. A Flash search engine is built based on the expressive semantics of Flash movies and our experiment results confirm that expressive semantics is a promising approach to understanding and hence searching Flash movies more efficiently.

AB - Flash, as a multimedia format, becomes more and more popular on the Web. However, previous works on Flash are unpractical to build a content-based Flash search engine. To address this problem, our paper proposes expressive semantics (ETS model) for bridging the gap between low-level features and user queries. A Flash search engine is built based on the expressive semantics of Flash movies and our experiment results confirm that expressive semantics is a promising approach to understanding and hence searching Flash movies more efficiently.

UR - https://www.scopus.com/pages/publications/26444592945

M3 - Conference article

AN - SCOPUS:26444592945

SN - 0302-9743

VL - 3568

SP - 123

EP - 133

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

Y2 - 20 July 2005 through 22 July 2005

ER -

What can expressive semantics tell: Retrieval model for a Flash-movie search engine

Abstract

ASJC Scopus subject areas

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