Abstract
Visual (image and video) database systems require efficient indexing to enable fast access to the images in a database. In addition, the large memory capacity and channel bandwidth requirements for the storage and transmission of visual data necessitate the use of compression technique. Vector quantization (VQ) is an efficient technique for low bit rate image and video compression. In addition, the low complexity of the decoder makes VQ attractive for low power systems and applications which require fast decoding. The detection of camera operations provides a mechanism to segment a long video shot into short clips defined by homogeneous camera operations which can then be used for indexing. In this paper, we present a technique for the detection of camera operations in video sequences compressed using VQ. The proposed technique is executed in the compressed domain. This entails significant savings in computational and storage costs resulting in faster execution.
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