PPT-Overview of the H.264/AVC Video Coding Standard

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 . BY MRUDULA WARRIER. UNDER THE GUIDANCE OF DR K.R.RAO. Table of contents. Use of multiplexing. Need for compression. History of compression. Video and audio coding standard. Multiplexing process. Demultiplexing. Dr.. David Corrigan. MPEG-2 the Basics. We have already covered a lot of the background of how video compression (or coding) works inside MPEG2.. Intra-Coding (I-frames) v Prediction Coding (P-frames) v Bi-Directional Prediction Coding (B-frames) & the Group of Pictures (GOP). STUDY AND IMPLEMENTATION OF POPULAR PARALLELING TECHNIQUES APPLIED TO HEVC. Unde. r the guidance of. Dr. K. R. . Rao. By:. Karthik Suresh . (1000880819). Overview. HEVC. Improvements . Need for parallel processing. Cengage. Learning. All Rights Reserved. May not be scanned, copied or duplicated, or posted to a publicly accessible website, in whole or in part.. Lessons. Digital Media, 3e. 2. Lesson 12.1: . Selecting Video Equipment. 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]. . (Comparison of HEVC with H.264 and H.264 with MPEG-2. ). A PROJECT UNDER THE GUIDANCE OF . DR. K. R. RAO . COURSE. : . EE5359 . - . MULTIMEDIA. PROCESSING. , SPRING 2015. SUBMITTED BY . JAGRITI DHINGRA. A PROJECT UNDER THE GUIDANCE OF DR. K. R. RAO COURSE: EE5359 - MULTIMEDIA PROCESSING, SPRING 2015. Submitted . By. :. Aanal. Desai. UT ARLINGTON ID: 1001103728. EMAIL ID: aanal.desai@mavs.uta.edu. DEPARTMENT OF ELECTRICAL ENGINEERING UNIVERSITY OF TEXAS, ARLINGTON. Residual . DPCM for improving Inter Prediction in HEVC for Lossless Screen Content Coding. Under the guidance of Dr. K. R. . Rao.  . For the fulfillment of the course Multimedia Processing (EE5359. ) . Outline. Need for Video Compression. Application Scenarios. Fundamentals of Video Coding. Redundancy Removal Techniques. Compression Artifacts. Encoding and Decoding Process Flow. Video Coding Standards. OF . HEVC,H.264 . and. VP9. . A PROJECT PROPOSAL UNDER THE GUIDANCE OF . DR. K. R. RAO . COURSE: EE5359 - MULTIMEDIA PROCESSING,. SPRING 2015 . By . DEEPIKA SREENIVASULU PAGALA. deepika.pagala@mavs.uta.edu. 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. 360 . Major Changes in Health Information Coding Practice and Implications for Cancer Surveillance. Jennifer Ruhl, RHIT, CCS, CTR (NCI SEER). Steve Peace, BS, CTR (Univ. of Miami). Overview. ICD-9-(CM) coding resources. Aditya . Mavlankar. , . Piyush. Agrawal, Derek Pang, Sherif . Halawa. , Ngai-Man Cheung and Bernd . Girod. Information Systems Laboratory, Department of Electrical Engineering. Stanford University, Stanford, CA 94305, USA.