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Title:
Visualizing and Analyzing Video Content With Interactive Scalable Maps
Author: Ma, CX ; Liu, YJ ; Zhao, GZ ; Wang, HA
Keyword: Interaction ; map metaphor ; multi-scale representation ; video visualization and analysis
Source: IEEE TRANSACTIONS ON MULTIMEDIA
Issued Date: 2016
Volume: 18, Issue:11, Pages:2171-2183
Indexed Type: SCI
Department: Chinese Acad Sci, Inst Software, State Key Lab Comp Sci, Beijing 100190, Peoples R China. Minist Educ, Engn Res Ctr Digital Media Technol, Jinan 100190, Peoples R China. Tsinghua Univ, Dept Comp Sci & Technol, Tsinghua Natl Lab Informat Sci & Technol, Beijing 100084, Peoples R China. Chinese Acad Sci, Inst Psychol, State Key Lab Brain & Cognit Sci, Beijing 100101, Peoples R China. Chinese Acad Sci, Inst Software, Beijing Key Lab Human Comp Interact, Beijing 100190, Peoples R China.
Abstract: Visualizing and communicating insights through maps offers an intuitive and familiar way to explore large-scale dynamic relational data. In this paper, we present VideoMap, which is a novel approach for presenting and interacting with relational video content by taking advantage of the map metaphor. VideoMap employs a metaphor to visualize video content by elements of a map with the aim of enabling exploration of video content as if reading a map. Video content is visualized in a hierarchal structure from a very large scale to a small scale of finely detailed representation. VideoMap recognizes a small set of sketch gestures for semantic zooming in and out, annotating the map, and automatically completing path navigation. To achieve this, VideoMap synthesizes map-derived visuals and binds them to the underlying data by operating the map with sketch interaction to facilitate interactive exploration. Extensive user studies were conducted to evaluate VideoMap, and the results demonstrated the effectiveness of VideoMap for facilitating the exploration and understanding of large video content.
English Abstract: Visualizing and communicating insights through maps offers an intuitive and familiar way to explore large-scale dynamic relational data. In this paper, we present VideoMap, which is a novel approach for presenting and interacting with relational video content by taking advantage of the map metaphor. VideoMap employs a metaphor to visualize video content by elements of a map with the aim of enabling exploration of video content as if reading a map. Video content is visualized in a hierarchal structure from a very large scale to a small scale of finely detailed representation. VideoMap recognizes a small set of sketch gestures for semantic zooming in and out, annotating the map, and automatically completing path navigation. To achieve this, VideoMap synthesizes map-derived visuals and binds them to the underlying data by operating the map with sketch interaction to facilitate interactive exploration. Extensive user studies were conducted to evaluate VideoMap, and the results demonstrated the effectiveness of VideoMap for facilitating the exploration and understanding of large video content.
Language: 英语
WOS ID: WOS:000386936900005
Citation statistics:
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/17295
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Ma, CX,Liu, YJ,Zhao, GZ,et al. Visualizing and Analyzing Video Content With Interactive Scalable Maps[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2016-01-01,18(11):2171-2183.
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