Please use this identifier to cite or link to this item: https://doi.org/10.1145/2964284.2973814
Title: An Intention-Aware Interactive System for Mobile Video Browsing
Authors: Jun He
Hanwang Zhang 
Ling Shen
Richang Hong
Tat-Seng Chua 
Keywords: Intention-aware
Mental search
RNN
Temporal model
Video browsing
Issue Date: 15-Oct-2016
Publisher: Association for Computing Machinery, Inc
Citation: Jun He, Hanwang Zhang, Ling Shen, Richang Hong, Tat-Seng Chua (2016-10-15). An Intention-Aware Interactive System for Mobile Video Browsing. ACM Multimedia Conference 2016 : 705-707. ScholarBank@NUS Repository. https://doi.org/10.1145/2964284.2973814
Abstract: Video browsing describes an interactive process where the user wants to find a target shot in a long video. Therefore, it is crucial for a video browsing system to be fast and accurate with minimum user effort. Previously, video browsing systems suffered from either lots of user efforts or heavy computation cost, which makes them less effective. We propose an RNN-based intention-aware system to overcome these limitations. At each interactive round, the user only needs to select one of the displayed shots that is most visually similar to her mental target and then the user's choice will further tailor the search to the target. The search model update merely requires vector inner products which means the system is highly responsive. © 2016 Copyright held by the owner/author(s).
Source Title: ACM Multimedia Conference 2016
URI: https://scholarbank.nus.edu.sg/handle/10635/167286
ISBN: 9781450336031
DOI: 10.1145/2964284.2973814
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