Extraction of key frames from video using discrete cosine transform

With the development of multimedia data types and available bandwidth there is huge demand of video retrieval systems as users shift from text based retrieval systems to content based retrieval systems (CBVRS). Selection of extracted features play an important role in content based video retrieval, regardless of video attributes under consideration. Good features selection also allows the time, space and cost saving in the retrieval process. This leads to the interest of selecting only those features that can be extracted from video data and used for indexing and retrieval along with similarity measurement methods. There are certain issues like video store, search, index and retrieve as a trend in area of content based video retrieval systems. In this paper, we have proposed a method. In this paper fractional discrete cosine transform coefficients are used to extract key frames which eventually save space and time with better completeness in the retrieval process.