A Video Mining Application for Image Retrieval

mining involves the analysis of content-based classification, indexing, and retrieval; representation, browsing, and visualization of the features in the video. This paper mainly is to survey available and potential technologies for video monitoring and mining, the general methods of fast and efficient content-based analysis of video streams and to identify promising directions for research in this challenging area. This involves automatic detection of boundaries between the shots in a video and then those are indexed to form a library, saving the proper features of each shot/frame. This helps in the easy retrieval based on the shot according to the user requirements. Here, we present an automation technique for video indexing and creation of a digital library. A video digital library is build which is composed of stream shots and the wavelet coefficients for these shots. The wavelength coefficients are computed on the image and all the video frames/shots for a full search function in all the frames of the indexed video. This digital library system can be used for any number of shots or even any number of frames. Keywordsstream, shots, digital library, wavelet transformation, shot