Shape-Based Retrieval of Arbitrarily Shaped Video Objects

نویسنده

  • Mohammed Jassim
چکیده

The increasing availability of object-based video content requires new technologies for automatically extracting and matching of the low level features of arbitrarily shaped video. In this paper, methods for shape retrieval of arbitrarily shaped video objects are proposed. Along with still shape features the shape deformations that may occur in an object’s life span is also taken. In this paper a novel method is used for measuring shape similarities between arbitrarily shaped video objects by comparing the low-level still shape features of the representative frames of the video objects. Keypads:object-based, video, extracting, shape similarities, video objects.

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تاریخ انتشار 2015