Presentation 2015-05-14
Method to efficiently retrieve memorable scenes from video using automatically collected life log
Anna Onishi, Sunao Hara, Masanobu Abe,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) One of the applications using life log is to retrieve memorable scenes. In this paper, for extracting memorable scenes from video, we propose a method to use life log that are automatically collected together with video during an event. Here, data in life log are GPS, pulse and sound. Three kinds of important points are extracted from the three data, and based on the important points, particular parts of video are extracted. According to subjective evaluation experiments, it is revealed that users can easily remember things by watching the extracted video and can remember details of the events including what were not recorded in the video.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) video summary / automatically collected life log
Paper # LOIS2015-1
Date of Issue 2015-05-07 (LOIS)

Conference Information
Committee LOIS / IPSJ-GN / IPSJ-SPT
Conference Date 2015/5/14(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Tsuda College, Kodaira Campus
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair Manabu Okamoto(NTT) / Satoshi Ichimura(*) / Kanta Matsuura(*)
Vice Chair Hiroyuki Nishi(Sojo Univ.)
Secretary Hiroyuki Nishi(NTT) / (Tsuda College) / (*)
Assistant Tomoki Watanabe(NTT)

Paper Information
Registration To Technical Committee on Life Intelligence and Office Information Systems / Special Interest Group on Groupware and Network Services / Special Interest Group on Security Psychology and Trust
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Method to efficiently retrieve memorable scenes from video using automatically collected life log
Sub Title (in English)
Keyword(1) video summary
Keyword(2) automatically collected life log
1st Author's Name Anna Onishi
1st Author's Affiliation Okayama University(Okayama Univ.)
2nd Author's Name Sunao Hara
2nd Author's Affiliation Okayama University(Okayama Univ.)
3rd Author's Name Masanobu Abe
3rd Author's Affiliation Okayama University(Okayama Univ.)
Date 2015-05-14
Paper # LOIS2015-1
Volume (vol) vol.115
Number (no) LOIS-27
Page pp.pp.23-28(LOIS),
#Pages 6
Date of Issue 2015-05-07 (LOIS)