Hierarchical visualization of video search results for topic-based browsing

Existing video search engines return a ranked list of videos for each user query, which is not convenient for browsing the results of query topics that have multiple facets, such as the "early life," "personal life," and "presidency" of a query "Barack Obama."...

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Main Authors: JIANG, Yu-Gang, WANG, Jiajun, WANG, Qiang, LIU, Wei, NGO, Chong-wah
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Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/sis_research/6311
https://ink.library.smu.edu.sg/context/sis_research/article/7314/viewcontent/07579193.pdf
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spelling sg-smu-ink.sis_research-73142021-11-23T06:51:09Z Hierarchical visualization of video search results for topic-based browsing JIANG, Yu-Gang WANG, Jiajun WANG, Qiang LIU, Wei NGO, Chong-wah Existing video search engines return a ranked list of videos for each user query, which is not convenient for browsing the results of query topics that have multiple facets, such as the "early life," "personal life," and "presidency" of a query "Barack Obama." Organizing video search results into semantically structured hierarchies with nodes covering different topic facets can significantly improve the browsing efficiency for such queries. In this paper, we introduce a hierarchical visualization approach for video search result browsing, which can help users quickly understand the multiple facets of a query topic in a very well-organized manner. Given a query, our approach starts from the hierarchy of its textual descriptions normally available onWikipedia and then adjusts the hierarchical structure by analyzing the video information to reflect the topic structure of the search result. After that, a simple optimization problem is formulated to perform the video-to-node association considering three important criteria. Furthermore, additional topic facets are mined to complement the contents of the existing semantic hierarchies. A large YouTube video dataset is constructed to evaluate our approach both quantitatively and qualitatively. A demo system is also developed for users to interact with the proposed browsing approach. 2016-11-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/6311 info:doi/10.1109/TMM.2016.2614233 https://ink.library.smu.edu.sg/context/sis_research/article/7314/viewcontent/07579193.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Search result visualization video search hierarchical structure visual analysis Databases and Information Systems Graphics and Human Computer Interfaces
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Search result visualization
video search
hierarchical structure
visual analysis
Databases and Information Systems
Graphics and Human Computer Interfaces
spellingShingle Search result visualization
video search
hierarchical structure
visual analysis
Databases and Information Systems
Graphics and Human Computer Interfaces
JIANG, Yu-Gang
WANG, Jiajun
WANG, Qiang
LIU, Wei
NGO, Chong-wah
Hierarchical visualization of video search results for topic-based browsing
description Existing video search engines return a ranked list of videos for each user query, which is not convenient for browsing the results of query topics that have multiple facets, such as the "early life," "personal life," and "presidency" of a query "Barack Obama." Organizing video search results into semantically structured hierarchies with nodes covering different topic facets can significantly improve the browsing efficiency for such queries. In this paper, we introduce a hierarchical visualization approach for video search result browsing, which can help users quickly understand the multiple facets of a query topic in a very well-organized manner. Given a query, our approach starts from the hierarchy of its textual descriptions normally available onWikipedia and then adjusts the hierarchical structure by analyzing the video information to reflect the topic structure of the search result. After that, a simple optimization problem is formulated to perform the video-to-node association considering three important criteria. Furthermore, additional topic facets are mined to complement the contents of the existing semantic hierarchies. A large YouTube video dataset is constructed to evaluate our approach both quantitatively and qualitatively. A demo system is also developed for users to interact with the proposed browsing approach.
format text
author JIANG, Yu-Gang
WANG, Jiajun
WANG, Qiang
LIU, Wei
NGO, Chong-wah
author_facet JIANG, Yu-Gang
WANG, Jiajun
WANG, Qiang
LIU, Wei
NGO, Chong-wah
author_sort JIANG, Yu-Gang
title Hierarchical visualization of video search results for topic-based browsing
title_short Hierarchical visualization of video search results for topic-based browsing
title_full Hierarchical visualization of video search results for topic-based browsing
title_fullStr Hierarchical visualization of video search results for topic-based browsing
title_full_unstemmed Hierarchical visualization of video search results for topic-based browsing
title_sort hierarchical visualization of video search results for topic-based browsing
publisher Institutional Knowledge at Singapore Management University
publishDate 2016
url https://ink.library.smu.edu.sg/sis_research/6311
https://ink.library.smu.edu.sg/context/sis_research/article/7314/viewcontent/07579193.pdf
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