Investigating the Efficient Method for Constructing Audio Surrogates of Digital Video Data (비디오의 오디오 정보 요약 기법에 관한 연구)

Kim, Hyun Hee (김현희)

doi:10.3743/KOSIM.2009.26.3.169

Investigating the Efficient Method for Constructing Audio Surrogates of Digital Video Data

Journal of the Korean Society for Information Management
Abbr : JKOSIM
2009, 26(3), pp.169~188
DOI : 10.3743/KOSIM.2009.26.3.169
Publisher : 한국정보관리학회
Research Area : Interdisciplinary Studies > Library and Information Science
Received : August 12, 2009
Accepted : August 27, 2009
Published : September 30, 2009

Kim, Hyun Hee ¹

¹명지대학교

Accredited

ABSTRACT

The study proposed the algorithm for automatically summarizing the audio information from a video and then conducted an experiment for the evaluation of the audio extraction that was constructed based on the proposed algorithm. The research results showed that first, the recall and precision rates of the proposed method for audio summarization were higher than those of the mechanical method by which audio extraction was constructed based on the sentence location. Second, the proposed method outperformed the mechanical method in summary making tasks, although in the gist recognition task(multiple choice), there is no statistically difference between the proposed and mechanical methods. In addition, the study conducted the participants' satisfaction survey regarding the use of audio extraction for video browsing and also discussed the practical implications of the proposed method in Internet and digital library environments.

KEYWORDS

tag, annotation, digital library

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* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

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Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Investigating the Efficient Method for Constructing Audio Surrogates of Digital Video Data

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of the Korean Society for Information Management 2023 KCI Impact Factor : 1.31

Investigating the Efficient Method for Constructing Audio Surrogates of Digital Video Data

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.