Image Based Video Querying Algorithm Using 3-Level Haar Wavelet Transform Features

摘要

Surveillance cameras and smartphone cameras produce huge amount of video data in our daily life. Effective utilization of huge video data is emerging as a new big problem in the ubiquitous video intelligent systems. Searching for a specific frame in video stream is one of challenging issues in this area. This paper proposes an image based video querying algorithm using 3-level Haar wavelet transform features. Hierarchical decomposition of wavelet transform enables to use features in both space and scaling domains. This paper employs 3-level Haar wavelet feature of an image to query matched frame in a video stream. In experimental results, we can find that the proposed algorithm shows about 1-8% better performance in accuracy than other algorithms.