Towards semantically meaningful feature spaces for the characterization of video content
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 1 - Volume 1
Video indexing and summarization using motion activity
Video indexing and summarization using motion activity
Key frame selection by motion analysis
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MPEG-7 visual motion descriptors
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Adaptive video-aware FEC-based mechanism with unequal error protection scheme
Proceedings of the 28th Annual ACM Symposium on Applied Computing
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We present a psychophysical and analytical framework for comparing the performance of motion activity measures for video segments, with respect to a subjective ground truth. We first obtain a ground truth for the motion activity by conducting a psychophysical experiment. Then we present several low-complexity motion activity descriptors computed from compressed domain block motion vectors. In the first analysis, we quantize the descriptors and show that they perform well against the ground truth. The MPEG-7 motion activity descriptor is also among the best performers. In the second analysis, we examine the specific cases where each descriptor fails, using a novel pair-wise comparison method. The analytical measures overestimate or underestimate the intensity of motion activity under strong camera motion or extreme camera angles. We finally discuss the experimental methodology and analysis methods we used, and possible alternatives. We review the applications of motion activity and how our results relate to them.