Video compression based on hybrid transform and quantization with Huffman coding for video codec

To process huge volume of data efficiently in video surveillance system, it is essential to find out high efficient video retrieval technique and advanced video compression techniques. In this paper, a video coding scheme based on hybrid DWT- DCT transform, quantization and construction of minimum redundancy code using Huffman coding is introduced. The proposed method uses the motion vectors, found from estimation using adaptive rood pattern search and is compensated globally. The hybrid DWT- DCT transform exploits the properties of both the DWT and DCT techniques and provides a better compression. The hybrid compressed frame is quantized and entropy coded with Huffman coding for generated bit streams are transmitted to the decoder. The algorithm achieves the size of the compressed frame saving by about 98% in its storage space.