ISCAS OpenIR
Visualizing and Analyzing Video Content With Interactive Scalable Maps
Ma, CX; Liu, YJ; Zhao, GZ; Wang, HA
2016
SourceIEEE TRANSACTIONS ON MULTIMEDIA
ISSN1520-9210
Volume18Issue:11Pages:2171-2183
English AbstractVisualizing 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.; 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.
Indexed TypeSCI
KeywordInteraction Map Metaphor Multi-scale Representation Video Visualization And Analysis
DepartmentChinese 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.
Language英语
WOS IDWOS:000386936900005
Citation statistics
Content Type期刊论文
URIhttp://ir.iscas.ac.cn/handle/311060/17295
Collection中国科学院软件研究所
Recommended Citation
GB/T 7714
Ma, CX,Liu, YJ,Zhao, GZ,et al. Visualizing and Analyzing Video Content With Interactive Scalable Maps[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2016,18(11):2171-2183.
APA Ma, CX,Liu, YJ,Zhao, GZ,&Wang, HA.(2016).Visualizing and Analyzing Video Content With Interactive Scalable Maps.IEEE TRANSACTIONS ON MULTIMEDIA,18(11),2171-2183.
MLA Ma, CX,et al."Visualizing and Analyzing Video Content With Interactive Scalable Maps".IEEE TRANSACTIONS ON MULTIMEDIA 18.11(2016):2171-2183.
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