Video Retrieval Using Wavelet Transform

Video retrieval is emerging as an important research area with application to digital libraries and multimedia databases. The objective of the MPEG-7 standard is to enhance content-based multimedia applications to the maximum.For another, wavelet transform is a new tool of time-frequency analysis after Fourier analysis and is widely applied in the scientific research and project technology. Though wavelet theory has been somewhat perfect, its applied research still has been developed and renovated. The image processing field where wavelet transform is applied almost includes the whole image processing aspects. Video retrieval has been researched in the paper. Based on the analysis in these research actualities, some algorithms and ideas have been proposed and the relevant test result and analysis have been given. The main research contents are as follows.Video sequences are viewed as 2-D among the frames and 1-D of time, so image retrieval algorithms presented by others can be applied to video retrieval. First, the video libraries are filtered by image retrieval algorithm based on wavelet, and then calculate the similarity between query clip and target clip according to the similarity measure principle, the maximal similarity indicates that the target clip is the same as the query clip. The target clip is the one clip to be inquired. Experimental indicates that the proposed methods is not only efficient in retrieving the video clip, but also can gain the higher search speed.From the other aspects, the video data can also be regarded as three -dimensional signal, and is decomposed by 3-D Wavelet Transform. This way overcomes the relations between temporal and spatial. First, the target video library is filtered by the average of wavelet -coefficient standard deviation of the approximation sub-image. Then, the detail feature is extracted using the octree algorithm. Finally, the video clip was retrieved accurately by combining the detail features with the approximate features. Experimental results indicated that the proposed approach is efficient in retrieving video clips.