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SCALABALE AND DISTRIBUTED METHODS FOR LARGE-SCALE VISUAL COMPUTING

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Figure 2.3: The sample video frames, showing various difficulties in the collected video dataset for accident detection.
Figure 3.2: Effect of the vocabulary size on classification accuracy and BoW generation time.
Figure 3.4: Scaling factor of Fast-BoW with respect to sequential BoW approach and the existing tree based approach.
Figure 4.1: Block diagram of the proposed framework for abnormal activity recognition in surveillance videos.
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