Key words: New Cross Diamond Search Algorithm, Block Motion Matching Technique, Motion Estimation and Compensation. You can also create AVI video files without any compression. Lossless, means that when you use this type of compression for your file you do not lose any of the file information. It can be a problem for users with limited storage space. There are many lossless video codecs, common ones include H.264 Lossless, H.265 Lossless, Motion JPEG Lossless, Apple Animation Quicktime RLE, Autodesk Animator Codec, and many more. There are many cases where the size of the resulting file is the same as the original. In other words, the quality is preserved while reducing media size. Lossless compression requires that data is not discarded, which in turn uses more space or bandwidth. A lossless compression refers to reducing the media sizes of a video without appreciable or significant loss of information. This results in very large file sizes, approximately 2-3 GB per minute of video. Lossless Compression Favors Quality Over Size. The New Cross Diamond Search Algorithm is 40% speed without affecting picture quality. The AVI video format uses less compression than other video formats such as MPEG or MOV. compare to diamond search algorithm, checking point is less. By using this new cross diamond search algorithm, the number of checking point is less when compare to another algorithm, using 9 checking point for calculating the sum of absolute difference to determine the least value.By using this least value only the motion vector will be found. Two types of techniques are used in this algorithm, they are (1) Block Motion Matching Technique and (2)Motion Estimation and Compensation. In this paper the proposed New Cross Diamond Search algorithm is used for video compression(lossless). This list is maintained by the Future Video Coding team at the University of Science and Technology of China (USTC-FVC). Video Compression use in modern coding techniques to reduce redundancy in video data. Readme This is a list of recent publications regarding deep learning-based image and video compression. For example, in a natural still image, there is usually a high degree of spatial correlation among neighboring image samples.

This redundancy is proportional to the amount of correlation among the image data samples.

Lossless data compression that allow the original data to be reconstructed decompression that improve the performance of a computing system from the compression. In this step-by-step tutorial, learn how you can make a video file smaller so it takes up less space on your computer. Lossless compression is possible because, in general, there is significant redundancy present in image signals. Lossy data compression, that allow only approximation of the original data to be reconstructed from the compression. There are two types of compression Lossy Data Compression and Lossless Data Compression. Sangeetha.Ĭompression is the reduction in size of data with the purpose of save space or transmission time. VLSI Implementation of Lossless Video Compression Technique Using New Cross Diamond Search Algorithmī. Although lossless video compression codecs perform at a compression factor of 5 to 12, a typical H.264 lossy compression video has a compression factor between 20 and 200.

Lossless video compression