PPT-Video Compression Evolution of video coding standards

Outline Need for Video Compression Application Scenarios Fundamentals of Video Coding Redundancy Removal Techniques Compression Artifacts Encoding and Decoding Process Flow Video Coding Standards. Xtreme Compression, Inc. is a software design consultancy with special expertise in structured data compression. We apply our proprietary algorithms and source code to compress and encrypt structured data whenever performance beyond the reach of conventional methods is required. Ahmed . Hamza. School of Computing Science. Simon Fraser University. February,. 2009. Outline. Overview. Network Abstraction Layer (NAL). Video Coding Layer (VCL). Profiles and Applications. Performance Comparison . Demijan. . Klinc. * . Carmit. . Hazay. † . Ashish. . Jagmohan. **. Hugo . Krawczyk. ** . Tal Rabin. **. * . Georgia . Institute of . Technology. ** . IBM T.J. Watson Research . Labs. † . Introduction. Compression is the reduction in size of data in order to save space or transmission time. . Compression is the process of reducing the size of a file by encoding its data information more efficiently . Petter Svärd, . Benoit . Hudzia. , Johan Tordsson and Erik Elmroth. Umeå University, . Dept. . of. . Computing. Science. VEE 2011, Newport Beach, CA, USA. Live migration. “Transfer . a VM from one host to . at 75 Gb/s on a GPU. Molly A. O’Neil and Martin Burtscher. Department of Computer Science. Introduction. Scientific simulations on HPC clusters. Run on interconnected compute nodes. P. roduce . and transfer lots of . Haar. Transform. 4c8 – . Dr.. David Corrigan. Entropy. It all starts with entropy. Calculating the Entropy of an Image. The entropy of . lena. is = 7.57 bits/pixel . approx. Huffman Coding. Huffman is the simplest entropy coding scheme. 1. Image. Rich info. from visual data. Examples of images around us. natural photographic images; . . artistic and engineering drawings. scientific images (satellite, medical, etc.). “Motion pictures” => video. Zarna. Patel. 1001015672. z. arnaben.patel@mavs.uta.edu. . Objective. The primary goal of most digital video coding standards has been to optimize coding efficiency. . The . objective of this project is to analyze the coding efficiency and computational complexity that can be achieved by use of the emerging High Efficiency Video Coding (HEVC) standard, relative to the coding efficiency characteristics of its major predecessors including, H.263 [29], and H.264/MPEG-4 Advanced Video Coding (AVC) [14]. . OF H.264 . INTRA FRAME CODING, JPEG, JPEG-LS. , JPEG-2000 . AND JPEG-XR. 1. EE . 5359 . Multimedia Project. Amee Solanki . (1000740226. ). amee.solanki@mavs.uta.edu. Image Compression. 2. Compression is the process of compacting data, reducing the number of . By . Sudeep. . Gangavati. ID 1000717165. EE5359 Spring 2012, . UT Arlington. Objective and motivation. The goal – to compare H.264/AVC, AVS P2 and Dirac. Video quality assessment – MSE, PSNR, SSIM. By . Sudeep. . Gangavati. EE5359 . Spring 2012, . UT Arlington. Proposal. The goal – to compare H.264/AVC, AVS P2 and Dirac. Video quality assessment – MSE, PSNR, SSIM. H.264/AVC Features. Srivastav. PROBLEM. Image require a lots of space as file & can be very large. They need to be exchange from various imaging system. There is a need to reduce both the amount of storage Space & transmission time.. Gennady Pekhimenko. § . Vivek Seshadri. §. Onur Mutlu. . §. . Michael A. Kozuch. †. Phillip B. Gibbons. † . Todd C. Mowry. . §. § . Carnegie Mellon University . † . Intel Labs Pittsburgh.