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Recommendation Method to Make Combined Video from Video Segments

Authors:
YunKyung Park
KyungDuk Moon
Jungtaek Kim
Seungjin Choi

Keywords: ; Recommendation; Combined Video; Video Segment; Similarity; Conformity

Abstract:
In this paper, we propose a recommendation scheme for media framework, which enables users to make their own videos by writing a story and reusing parts of accumulated videos. To reuse part of videos, we split a video into semantic segments based on an analysis of relations among objects in a video and store the segments with semantics in repository. To create a new video, the user sends queries based on his/her own story, then the framework recommends appropriate video segments for each query. To determine the rank of searched segments, the recommendation engine uses the degree of coincidence between the segment and the query. Also, it uses the degree of similarity between the searched segment and previously selected segment. By doing this, we can recommend a segment, which is consistent with user’s intent and harmonized with the other parts of the new video.

Pages: 40 to 41

Copyright: Copyright (c) IARIA, 2016

Publication date: October 9, 2016

Published in: conference

ISSN: 2326-9383

ISBN: 978-1-61208-509-8

Location: Venice, Italy

Dates: from October 9, 2016 to October 13, 2016