Publication Type
Journal Article
Version
publishedVersion
Publication Date
6-2014
Abstract
Organizing video search results in a list view is widely adopted by current commercial search engines, which cannot support efficient browsing for complex search topics that have multiple semantic facets. In this article, we propose to organize video search results in a highly structured way. Specifically, videos are placed on a semantic hierarchy that accurately organizes various facets of a given search topic. To pick the most suitable videos for each node of the hierarchy, we define and utilize three important criteria: relevance, uniqueness, and diversity. Extensive evaluations on a large YouTube video dataset demonstrate the effectiveness of our approach.
Keywords
Algorithms, Design, Experimentation, Web video browsing, video organization, visualization
Discipline
Data Storage Systems | Graphics and Human Computer Interfaces | Theory and Algorithms
Research Areas
Intelligent Systems and Optimization
Publication
ACM Transactions on Multimedia Computing, Communications and Applications
Volume
10
Issue
4
First Page
1
Last Page
120
ISSN
1551-6857
Identifier
10.1145/2578394
Publisher
Association for Computing Machinery (ACM)
Citation
1
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Included in
Data Storage Systems Commons, Graphics and Human Computer Interfaces Commons, Theory and Algorithms Commons