2011 IEEE International Conference on Multimedia and Expo 2011
DOI: 10.1109/icme.2011.6011958
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Profiling video to visual track for preview

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Cited by 3 publications
(4 citation statements)
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“…In addition, dynamic scenes in a static field of view (FOV) may further reveal a variety of motions as directional motion (e.g., marathon crowds) or diversified motion (e.g., random walking in a shopping mall). In general, we can describe the camera kinematics [13], which yields typical camera works generating distinct optical flows that can be classified as diversified flow or directional flow. This categorization helps us design a general cutting strategy to obtain the profile of video clips.…”
Section: Camera Motion and Image Flowmentioning
confidence: 99%
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“…In addition, dynamic scenes in a static field of view (FOV) may further reveal a variety of motions as directional motion (e.g., marathon crowds) or diversified motion (e.g., random walking in a shopping mall). In general, we can describe the camera kinematics [13], which yields typical camera works generating distinct optical flows that can be classified as diversified flow or directional flow. This categorization helps us design a general cutting strategy to obtain the profile of video clips.…”
Section: Camera Motion and Image Flowmentioning
confidence: 99%
“…For the simplicity, we assume here the major flow vector is horizontal, i.e., the camera motion is horizontal. From the simple camera motion such as zoom, rotation, and translation (abbreviated to Z, R, and T in bold) and their corresponding slice cutting [13], Figure 4 shows all the possible motion combinations. For example, a camera can zoom during translation (T+Z).…”
Section: Cut Video Volume For Profilementioning
confidence: 99%
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“…For dynamic camera motion, a temporal profile has been generated from a moving sampling line to mainly summarize background [5,6,7]. However, the spatial information is lost when a temporal slice is cut from the spatial-temporal volume of video.…”
Section: Introductionmentioning
confidence: 99%