A real time and low cost hardware architecture for video abstraction system

Li Chuan Chang; Yen Sung Chen; Rung Wen Liou; Chih Hung Kuo; Chia Hung Yeh; Bin Da Liu

doi:10.1109/iscas.2007.378000

A real time and low cost hardware architecture for video abstraction system

Li Chuan Chang^*, Yen Sung Chen, Rung Wen Liou, Chih Hung Kuo, Chia Hung Yeh, Bin Da Liu

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

In this paper, we propose a real time hardware architecture with low cost for histogram difference calculator to process and low-level extraction in our video abstraction system. The highlights are extracted from video data by directly combining simple visual and audio features of video data without specific domain knowledge and hence its low complexity makes it suitable to be implemented in embedded systems. Experimental results show that the condensed skimming clips comprise the interesting and informative parts and most meaningful semantic contents are extracted efficiently.

Original language	English
Article number	4252749
Pages (from-to)	773-776
Number of pages	4
Journal	Proceedings - IEEE International Symposium on Circuits and Systems
DOIs	https://doi.org/10.1109/iscas.2007.378000
Publication status	Published - 2007
Externally published	Yes
Event	2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007 - New Orleans, LA, United States Duration: 2007 May 27 → 2007 May 30

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/iscas.2007.378000

Cite this

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abstract = "In this paper, we propose a real time hardware architecture with low cost for histogram difference calculator to process and low-level extraction in our video abstraction system. The highlights are extracted from video data by directly combining simple visual and audio features of video data without specific domain knowledge and hence its low complexity makes it suitable to be implemented in embedded systems. Experimental results show that the condensed skimming clips comprise the interesting and informative parts and most meaningful semantic contents are extracted efficiently.",

author = "Chang, {Li Chuan} and Chen, {Yen Sung} and Liou, {Rung Wen} and Kuo, {Chih Hung} and Yeh, {Chia Hung} and Liu, {Bin Da}",

year = "2007",

doi = "10.1109/iscas.2007.378000",

language = "English",

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journal = "Proceedings - IEEE International Symposium on Circuits and Systems",

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AU - Chang, Li Chuan

AU - Chen, Yen Sung

AU - Liou, Rung Wen

AU - Kuo, Chih Hung

AU - Yeh, Chia Hung

AU - Liu, Bin Da

PY - 2007

Y1 - 2007

N2 - In this paper, we propose a real time hardware architecture with low cost for histogram difference calculator to process and low-level extraction in our video abstraction system. The highlights are extracted from video data by directly combining simple visual and audio features of video data without specific domain knowledge and hence its low complexity makes it suitable to be implemented in embedded systems. Experimental results show that the condensed skimming clips comprise the interesting and informative parts and most meaningful semantic contents are extracted efficiently.

AB - In this paper, we propose a real time hardware architecture with low cost for histogram difference calculator to process and low-level extraction in our video abstraction system. The highlights are extracted from video data by directly combining simple visual and audio features of video data without specific domain knowledge and hence its low complexity makes it suitable to be implemented in embedded systems. Experimental results show that the condensed skimming clips comprise the interesting and informative parts and most meaningful semantic contents are extracted efficiently.

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M3 - Conference article

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EP - 776

JO - Proceedings - IEEE International Symposium on Circuits and Systems

JF - Proceedings - IEEE International Symposium on Circuits and Systems

M1 - 4252749

T2 - 2007 IEEE International Symposium on Circuits and Systems, ISCAS 2007

Y2 - 27 May 2007 through 30 May 2007

ER -

A real time and low cost hardware architecture for video abstraction system

Abstract

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