An Error Concealment Scheme For Entire Frame Losses For H.264/avc
Request full-text An error concealment scheme for entire frame losses based on H.264/AVCConference Paper · June 2006 with 19 ReadsDOI: 10.1109/ISCAS.2006.1693620 · Source: IEEE XploreConference: Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on1st Zhenyu Wu2nd Jill Boyce19.39 · UnknownAbstractIn this paper, an error concealment algorithm is proposed to conceal an entirely lost frame in an H.264/AVC compressed video bitstream. For a lost frame, the algorithm reconstructs the lost motion information of this frame based on its temporal neighbors. The algorithm is block based and thus has low computation and implementation complexity. It is designed for those hard-to-conceal video sequences, which have abundant active and chaotic motions. Experimental results show that the algorithm compares favorably to other simple error concealment algorithmsDo you want to read the rest of this conference paper?Request full-text CitationsCitations48ReferencesReferences11Online Learning for QoE-based Video Streaming to Mobile Receivers"The PDUs are assumed to be static with size 336 bits, which is consistent with the 3GPP radio link control protocol specification [27]. To get a model with reduced state space and accelerate the convergence of RL, the state of the PE buffer is quantized to two intervals [0, 22[ represented by s e = 1, indicating a satisfying occupancy and [22, 25], represented by s e = 2, indicating a buffer close to overflow. As the MAC state transitions depend on the encoded frame size contrary to the PE buffer state, a finer quantization is considered for the state of the MAC buffer. "[Show abstract] [Hide abstract] ABSTRACT: This paper proposes a cross-layer control mechanism to stream efficiently scalable videos to mobile receivers. Its goal is to maximize the quality of the received video while accounting for the variations of the characteristics of the transmitted content and of the channel. The control problem is cast in the framework of Markov Decision Processes. The optimal actions to apply to the system are learned using reinforcement learning. For that purpose, the quality of the decoded frames at receiver is inferred by an o
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Communication, Networking & Broadcasting http://ieeexplore.ieee.org/iel5/4470168/4534705/04534755.pdf?arnumber=4534755 Components, Circuits, Devices & Systems Computing & Processing https://books.google.com/books?id=4eLqBQAAQBAJ&pg=PA476&lpg=PA476&dq=an+error+concealment+scheme+for+entire+frame+losses+for+h.264/avc&source=bl&ots=mSRroEzVog&sig=VA2Z00XH0fMqxs5SeC_tAeNTEAs&hl=en&sa=X&ved=0ahUKEwiCrqH Engineered Materials, Dielectrics & Plasmas Engineering Profession Fields, Waves & Electromagnetics General Topics for Engineers Geoscience Nuclear Engineering Photonics & Electro-Optics Power, Energy, & Industry Applications Robotics & Control Systems Signal Processing an error & Analysis Transportation Browse Books & eBooks Conference Publications Courses Journals & Magazines Standards By Topic My Settings Content Alerts My Projects Search Alerts Preferences Purchase History Search History What can I access? Get Help About IEEE Xplore Feedback an error concealment Technical Support Resources and Help Terms of Use What Can I Access? Subscribe Personal Sign In Create Account IEEE Account Change Username/Password Update Address Purchase Details Payment Options Order History View Purchased Documents Profile Information Communications Preferences Profession and Education Technical Interests Need Help? US & Canada: +1 800 678 4333 Worldwide: +1 732 981 0060 Contact & Support About IEEE Xplore Contact Us Help Terms of Use Nondiscrimination Policy Sitemap Privacy & Opting Out of Cookies A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.© Copyright 2016 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
2015. The 49 revised regular papers, 24 poster presentations, were carefully reviewed and selected from 189...https://books.google.com/books/about/MultiMedia_Modeling.html?id=4eLqBQAAQBAJ&utm_source=gb-gplus-shareMultiMedia ModelingMy libraryHelpAdvanced Book SearchEBOOK FROM $32.58Get this book in printSpringer ShopAmazon.comBarnes&Noble.comBooks-A-MillionIndieBoundFind in a libraryAll sellers»MultiMedia Modeling: 21st International Conference, MMM 2015, Sydney, Australia, January 5-7, 2015, Proceedings, Part 1Xiangjian He, Suhuai Luo, Dacheng Tao, Changsheng Xu, Jie Yang, Muhammad Abul HasanSpringer, Dec 22, 2014 - Computers - 586 pages 0 Reviewshttps://books.google.com/books/about/MultiMedia_Modeling.html?id=4eLqBQAAQBAJThe two-volume set LNCS 8935 and 8936 constitutes the thoroughly refereed proceedings of the 21st International Conference on Multimedia Modeling, MMM 2015, held in Sydney, Australia, in January 2015. The 49 revised regular papers, 24 poster presentations, were carefully reviewed and selected from 189 submissions. For the three special session, a total of 18 papers were accepted for MMM 2015. The three special sessions are Personal (Big) Data Modeling for Information Access and Retrieval, Social Geo-Media Analytics and Retrieval and Image or video processing, semantic analysis and understanding. In addition, 9 demonstrations and 9 video showcase papers were accepted for MMM 2015. The accepted contributions included in these two volumes represent the state-of-the-art in multimedia modeling research and cover a diverse range of topics including: Image and Video Processing, Multimedia encoding and streaming, applications of multimedia modelling and 3D and augmented reality. Preview this book » What people are saying-Write a reviewWe haven't found any reviews in the usual places.Selected pagesTitle PageTable of ContentsIndexOther editions - View allMultiMedia Modeling: 21st International Conference, MMM 2015, Sydney ..., Part 2Xiangjian He,Suhuai Luo,Dacheng Tao,Changsheng Xu,Jie Yang,Muhammad Abul HasanLimited preview - 2014MultiMedia Modeling: 21st International Conference, MMM 2015, Sydney ..., Part 1Xiangjian He,Suhuai Luo,Dacheng Tao,Changsheng Xu,Jie Yang,Muhammad Abul HasanNo preview