A New Video Digesting Description based on Automatic Speech Emphasis Extraction - CH-RSS: Content Highlight RSS -

Kota HIDAKA; Masaru FUJIKAWA; Naoya MIYASHITA; Takashi SATOU; Kenichiro SHIMOKURA

doi:10.11371/aiieej.34.0.65.0

Media Computing Conference 2006 - Proceedings of the 34th Annual Conference of the Institute of Image Electronics Engineers of Japan 2006 -

Session ID : 06-30

DOI https://doi.org/10.11371/aiieej.34.0.65.0

Conference information

Host: The Institute of Image Electronics Engineers of Japan

Co-host: Toho University, Tokyo Denki University, Chiba Institute of Technology, Information Processing Society of Japan

10:15-11:00 Chair: Yoshinori HATORI, Tokyo Institute of Technology

A New Video Digesting Description based on Automatic Speech Emphasis Extraction

- CH-RSS: Content Highlight RSS -

*Kota HIDAKA, Masaru FUJIKAWA, Naoya MIYASHITA, Takashi SATOU, Kenichiro SHIMOKURA

Author information

Keywords: RSS, digest, video, blog, speech parameter

CONFERENCE PROCEEDINGS RESTRICTED ACCESS

Details

Abstract

This paper describes a new video content digesting description -CH-RSS: Content Highlight RSS- based on automatic extraction of emphasized speech and an evaluation on which the description is applied to video contents on the internet. CH-RSS applies priority level to each speech segment in descending order of “degree of emphasis” and creates a new CH-RSS document written above information. When a user requests the video content of the article, the method collects the video segments corresponding emphasized speech potion referring to the CH-RSS document. We discussed availability of non-edited videos using for blog sites applied to the proposed method.

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