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  1. Proceedings of the 7th International Workshop on Hot Topics in Planet-scale mObile computing and online Social neTworking (HOTPOST '15)
  2. Video Highlight Shot Extraction with Time-Sync Comment
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Towards a Three-tiered Social Graph in Decentralized Online Social Networks
Characterizing the Spatio-Temporal Inhomogeneity of Mobile Traffic in Large-scale Cellular Data Networks
Inter Action Time in Virtual and Physical Spaces: A Comparative Study
Privacy Preserving Decentralized Identity Validation for Geo-social Networks over MANET
Exploiting User Context and Network Information for Mobile Application Usage Prediction
An Empirical Study of Human Altruistic Behaviors in Opportunistic Networks
Privacy Preserving Social Tie Discovery Based on Cloaked Human Trajectories
Video Highlight Shot Extraction with Time-Sync Comment
Evaluating the Influence of Social Selfishness on Cooperative D2D Communications

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Video Highlight Shot Extraction with Time-Sync Comment

Content Provider ACM Digital Library
Author Li, Jiangfeng Liao, Zhenyu Xian, Yikun Zhang, Chenxi
Abstract Benefit from abundance of mobile applications, portability of large-screen mobile devices and accessibility of media resources, users nowadays much more prefer to watch videos on their mobiles no matter whether they are at home or on the way. However, constrained by available time and network flow, users may only choose to watch some hot video segments that are manually annotated by video editors. In this paper, we aim to automatically extract video highlight shot with the help of video sentimental feature of time-sync comments. First, analyzing statistical feature of real data. After, we simulate the generation process of time-sync comment after. Then, we propose a shot boundary detection method to extract highlight shot, which is proved to be more effective than traditional methods based on comment density. This experiment attests the time-sync comment is particularly suitable for sentiment-based video segment extraction for 2 reasons. 1) Text-based similarity calculation of is much faster than image-based process depending on every frame of video; 2) Time-sync comment reflects user subjective emotion therefore is useful in personalised video recommendation.
Starting Page 31
Ending Page 36
Page Count 6
File Format PDF
ISBN 9781450335171
DOI 10.1145/2757513.2757516
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-06-22
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Time-sync comment Video highlight extraction Topic model
Content Type Text
Resource Type Article
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