PPT-Using Scalable Video Coding for

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Dynamic Adaptive Streaming over HTTP in Mobile Environments Christopher Müller Daniele Renzi Stefan Lederer Stefano Battista Christian Timmerer 1 Introduction

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Using Scalable Video Coding for: Transcript

Dynamic Adaptive Streaming over HTTP in Mobile Environments Christopher Müller Daniele Renzi Stefan Lederer Stefano Battista Christian Timmerer 1 Introduction DASH Already exist industry player which are using HTTP streaming server. 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. 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 . 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. Luis . Herranz. Arribas. Supervisor: Dr. José M. Martínez Sánchez. Video Processing and Understanding Lab. Universidad . Aut. ónoma. de Madrid. Outline. Introduction. Integrated. . summarization. Administrative Issues (04/19/2016). . Draft of Final Report is due on . Thursday, April 21, 2016. (extended to April 26). Submit a narrative semi-final report containing figures, tables, graphs and references . 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]. . DR. K. R. RAO . COURSE: . EE5359 . - . MULTIMEDIA. PROCESSING. , SPRING 2016. SUBMITTED BY: Satya . Avasarala. (1001090898). Mohammed Mahmood Quraishi(1001151028). (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. 1Roya Choupani PhDDepartment Computer ScienceAngelo State UniversityEmail rchoupaniangeloeduWeb https//royachoupanigithubioPh325-486-5421Education1PhD Computer Engineering Department Delft University

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