Topic-based generation of keywords and caption for video content

Masanao Okamoto; Kiichi Hasegawa; Sho Sobue; Akira Nakamura; Satoshi Tamura; Satoru Hayamizu

Topic-based generation of keywords and caption for video content

Masanao Okamoto^*, Kiichi Hasegawa, Sho Sobue, Akira Nakamura, Satoshi Tamura, Satoru Hayamizu

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

This paper studies usage of both keywords and captions in one scene for video content. Captions show the spoken content and are renewed in a sentence unit. A method is proposed to extract keywords automatically from transcribed texts. The method estimates topic boundary, extracts keywords by Latent Dirichlet Allocation (LDA) and presents them in speech balloon captioning system. The proposed method is evaluated by experiments from the viewpoint of easy to view and helpfulness to understand the video content. Adding keywords and captions obtained favorable scores by subjective assessments.

Original language	English
Pages	605-608
Number of pages	4
Publication status	Published - 2010
Externally published	Yes
Event	2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010 - Biopolis, Singapore Duration: 2010 Dec 14 → 2010 Dec 17

Conference

Conference	2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010
Country/Territory	Singapore
City	Biopolis
Period	10/12/14 → 10/12/17

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

Cite this

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title = "Topic-based generation of keywords and caption for video content",

abstract = "This paper studies usage of both keywords and captions in one scene for video content. Captions show the spoken content and are renewed in a sentence unit. A method is proposed to extract keywords automatically from transcribed texts. The method estimates topic boundary, extracts keywords by Latent Dirichlet Allocation (LDA) and presents them in speech balloon captioning system. The proposed method is evaluated by experiments from the viewpoint of easy to view and helpfulness to understand the video content. Adding keywords and captions obtained favorable scores by subjective assessments.",

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T1 - Topic-based generation of keywords and caption for video content

AU - Okamoto, Masanao

AU - Hasegawa, Kiichi

AU - Sobue, Sho

AU - Nakamura, Akira

AU - Tamura, Satoshi

AU - Hayamizu, Satoru

PY - 2010

Y1 - 2010

N2 - This paper studies usage of both keywords and captions in one scene for video content. Captions show the spoken content and are renewed in a sentence unit. A method is proposed to extract keywords automatically from transcribed texts. The method estimates topic boundary, extracts keywords by Latent Dirichlet Allocation (LDA) and presents them in speech balloon captioning system. The proposed method is evaluated by experiments from the viewpoint of easy to view and helpfulness to understand the video content. Adding keywords and captions obtained favorable scores by subjective assessments.

AB - This paper studies usage of both keywords and captions in one scene for video content. Captions show the spoken content and are renewed in a sentence unit. A method is proposed to extract keywords automatically from transcribed texts. The method estimates topic boundary, extracts keywords by Latent Dirichlet Allocation (LDA) and presents them in speech balloon captioning system. The proposed method is evaluated by experiments from the viewpoint of easy to view and helpfulness to understand the video content. Adding keywords and captions obtained favorable scores by subjective assessments.

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M3 - Paper

AN - SCOPUS:79958093399

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T2 - 2nd Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2010

Y2 - 14 December 2010 through 17 December 2010

ER -

Topic-based generation of keywords and caption for video content

Abstract

Conference

ASJC Scopus subject areas

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