Video compression without losing the quality of information is more complex and time consuming process in video communication. H.264/AVC is designed and developed to meet corresponding video compression. Motion estimation and motor vector are the two important key techniques considered during video compression. The encoder complexity and process time is increased as demand increases for better quality of video service. The proposed model mainly concentrated on bit rate reduction of H.264/AVC with reduced rate distortion optimization (RDO) computation. Based on the texture information each input frame slices into 16 × 16 and 4 × 4 Macro block (MB) divisions. For each MB a gradient bit cost and RDO value is calculated for the best mode selection. If the bit cost of the MB is less than predefined level then DC mode are directly chosen for frame prediction, similarly the process is repeated for all chroma samples. This process of mode selection minimizes the RDO calculation up to 36 modes, further the complexity of encoder is reduced by using a motion search algorithms. The proposed system is implemented using MATLAB tool with Hexagonal motion search and Binary Search methods to reduce the bit rate video frames. The system performance is analysed by using a PSNR value and bit rate of the Predicted frame.
Digital video compression has become an integral part of the way we create, consume visual information and communicate, over the last few decades. A robust technique of compression is proposed in this paper for video compression. Reduction of irrelevant or redundant data in order to save the storage space requirements and processing time is nothing but compression. Here H.264/AVC (Advance Video Coding) video coding standard is used for compression. Where I-frames are divided into different macro blocks (MB) and each MB is efficiently compressed using 4 x4 and 16 x16 blocks in H.264/AVC intra prediction. Choosing one of 9 prediction modes for each 4 x4 block with reduced time and less complexity is still a bottleneck. In this paper a gradient based fast intra prediction mode selection method for 4x4 and 16x16 is proposed. The proposed method divides an input frames into variable block sizes based on the texture and performs few mode examinations based on the gradient direction in the given slice. Respective best mode with minimum cost is selected using sum of absolute difference (SAD) and rate distortion optimization (RDO). This process is carried for all the video input frames. Each compressed video frames are combined finally to get a compressed video output.
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