PPT-Coding Efficiency and Computational Complexity of Video Coding Standards-Including High

Zarna Patel 1001015672 z arnabenpatelmavsutaedu 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 H263 29 and H264MPEG4 Advanced Video Coding AVC 14 . 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 . 119. . submissions. Paris ‘09: . 113 . (deadline . after. STOC) . Prague '06: . 87. . Aarhus '03: . 65 . Florence '00: . 63. . 18 junk submissions. 34. papers accepted. Second highest ever? Paris ’09 had . IEPR Workshop on Plug-Load Efficiency. California Energy Commission. June 18, 2015. Ken Rider. Appliances and Existing Buildings Office. Efficiency Division. Ken.Rider@energy.ca.gov / 916-654-5006. Historical Perspective. circulant. temporal encoding. CVPR 2013 . Oral. Outline. 1. . Introduction. 2. EVVE: an event retrieval . dataset. 3. Frame . description. 4. . Circulant. temporal . aggregation. 5. Indexing strategy and . Lecture 1: . Intro; Turing machines; . Class P and NP . . . Indian Institute of Science. About the course. Computational complexity attempts . to classify computational . problems. District Wide Implementation in SD43. Patricia Gartland, CEO and Superintendent . Stephen Whiffin, Director of Instruction. School District No. 43 (Coquitlam). It’s Computational Thinking – not Coding…. Spatiotemporal . Correlations. Presented by:. Divya . Nityanand (1001112716) . d. ivya.nityanand@mavs.uta.edu. 1. EE 5359 Multimedia . Processing. Spring 2016. Advisor: Dr. K. R. . Rao. Department of Electrical . Salim Arfaoui. SJCNY-Brooklyn. What does ‘Space Complexity’ mean. ?. Space Complexity:. . The . term Space Complexity is misused for Auxiliary Space at many places. .. . Auxiliary . Space.  is the extra space or temporary space used by an algorithm.. Jim . Demmel. EECS & Math Departments. www.cs.berkeley.edu/~demmel. 20 Jan 2009. 4 Big Events. Establishment of a new graduate program in Computational Science and Engineering (CSE). “. Multicore. Common . Core Classroom. Patricia . Coldren. Lee County Schools. pcoldren@lee.k12.nc.us. Common Core and Literacy. An increase in the complexity and rigor of literacy is a keystone of the Common Core 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. Dr. Jeyakesavan Veerasamy. jeyv@utdallas.edu. The University of Texas at Dallas, USA. Program running time. When is the running time (waiting time for user) noticeable/important?. Program running time – Why? . Today’s class. 1) Lecture. 2) . Blackbox. presentations. 3) Guest Lecture: Jonathan Mills. O. rganized . complexity. organized complexity. study of organization. whole is more than sum of parts. Systemhood. Lijie. Chen. MIT. Today’s Topic. Background. . What is Fine-Grained Complexity?. The Methodology of Fine-Grained Complexity. Frontier: Fine-Grained Hardness for Approximation Problems. The Connection.