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5 edition of Joint Source-Channel Video Transmission (Synthesis Lectures on Image, Video, & Multimedia Processing) found in the catalog.

Joint Source-Channel Video Transmission (Synthesis Lectures on Image, Video, & Multimedia Processing)

  • 11 Want to read
  • 33 Currently reading

Published by Morgan & Claypool Publishers .
Written in English

    Subjects:
  • Applied optics,
  • Electrical engineering,
  • Engineering - Electrical & Electronic,
  • Imaging Systems,
  • Technology & Engineering,
  • Science/Mathematics

  • The Physical Object
    FormatPaperback
    Number of Pages120
    ID Numbers
    Open LibraryOL12496418M
    ISBN 101598290444
    ISBN 109781598290448

    Summary. Visual information is one of the richest and most bandwidth-consuming modes of communication. To meet the requirements of emerging applications, powerful data compression and transmission techniques are required to achieve highly efficient communication, even in the presence of growing communication channels that offer increased bandwidth. R. Thobaben, J. Kliewer: Low complexity iterative joint source-channel decoding for variable-length encoded Markov sources. IEEE Transactions on Communications, vol. 53, no. 12, pages , December J. Kliewer, R. Thobaben: Iterative joint source-channel decoding of variable-length codes using residual source redundancy.


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Joint Source-Channel Video Transmission (Synthesis Lectures on Image, Video, & Multimedia Processing) by Fan Zhai Download PDF EPUB FB2

This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality of service (QoS) support from the network, and packet scheduling, for Cited by: "This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality of service (Q[degree]S) support from the network, and packet scheduling, for efficient video transmission.

Joint Source-Channel Video Transmission. The framework includes joint video source-channel coding and optimization. First, we model the problem of broadcasting a layered video to heterogeneous. Joint source-channel decoding is now seen as a viable alternative to separate decoding of source and channel codes, if the protocol layers are taken into account.

A joint source/protocol/channel approach is thus addressed in this book: all levels of the protocol stack are considered, showing how the information in each layer influences the others.

This book provides the tools to show how cross-layer and joint source-channel coding and decoding are now compatible with present-day mobile and wireless networks, with a particular application to the key area of video transmission to mobiles.

Abstract. This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality of service (QoS) support from the network, and packet scheduling, for efficient video by: This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other network layers, such as data rate adaptation, channel coding, power adaptation in wireless networks, quality of service (QoS) support from the network, and packet scheduling, for efficient video transmission.

Joint Source-Channel Decoding: A Cross-Layer Perspective with Applications in Video Broadcasting (Eurasip and Academic Press Series in Signal and Image Processing) - Kindle edition by Duhamel, Pierre, Kieffer, Michel. Download it once and read it on your Kindle device, PC, phones or tablets.

Use features like bookmarks, note taking and highlighting while reading. hang out. When in fact, review JOINT SOURCE CHANNEL VIDEO TRANSMISSION AGGELOS KATSAGGELOS certainly provide much more likely to be effective through with hard work. For everyone, whether you are going to start to join with others to consult a book, this JOINT SOURCE CHANNEL VIDEO TRANSMISSION AGGELOS KATSAGGELOS is very advisable.

Pierre Duhamel, Michel Kieffer, in Joint Source-Channel Decoding, The Channel-Coding Theorem. For the channel-coding theorem, the source is assumed to be discrete, and the “information word” is assumed to take on K different values with equal probability, which corresponds to the binary, symmetric, and memoryless properties mentioned above.

The. Joint Source-Channel Decoding: A Cross-Layer Perspective with Applications in Video Broadcasting (Eurasip and Academic Press Series in Signal and Image Processing) | Pierre Duhamel, Michel Kieffer | ISBN: | Kostenloser Versand für alle Bücher mit Versand und Verkauf duch : Gebundenes Buch.

Joint Source-Channel Coding for Video Communications Fan Zhai1, Yiftach Eisenberg2, cations for data compressing are storage and transmission. Video transmission is the topic of this chapter. Video transmission applications, such as on-demand On Joint Source-Channel Coding Due to the high bandwidth of the raw video data, compression File Size: KB.

This book deals with the problem of joint source-channel video transmission, i.e., the joint optimal allocation of resources at the application layer and the other Joint Source–Channel Video Transmission Fan Zhai Texas Instruments Aggelos Katsaggelos Northwestern University SYNTHESIS LECTURES ON IMAGE, VIDEO, AND MULTIMEDIA.

Real-time Image and Video Processing: From Research to Reality - Ebook written by Nasser Kehtarnavaz, Mark Noel Gamadia. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Real-time Image and Video Processing: From Research to Reality.

Zhai and A. Katsaggelos, Joint Source-Channel Video Transmission, a publication in the Morgan and Claypool publishers series, September Degrees of freedom in adaptive modulation: A. In information theory, joint source–channel coding is the encoding of a redundant information source for transmission over a noisy channel, and the corresponding decoding, using a single code instead of the more conventional steps of source coding followed by channel coding.

Joint source–channel coding has been proposed and implemented for a variety of situations. A Joint Source-Channel Rate-Distortion Optimization Algorithm for H Codec in Wireless Networks the demand for video transmission over wireless communication networks is growing very fast.

a joint source-channel Lagrange optimization method in which the distortion of the decoder is estimated without using feedback which can be used. T1 - Recent advances in joint source-channel coding of video. AU - Bystrom, M. AU - Modestino, J. PY - /12/1.

Y1 - /12/1. N2 - It has recently been shown that for an image or video transmission scheme to be both efficient and robust in practice that a joint source-channel coding approach is by: 6.

This book provides the tools to show how cross-layer and joint source-channel coding and decoding are now compatible with present-day mobile and wireless networks, with a particular application to the key area of video transmission to. Amin Zribi, Clency Perrine, and Yannis Pousset, "Optimized scalable image and video transmission for MIMO wireless channels", Book chapter in Recent advances in image and Video coding, INTECH Open Access Publisher, Link.

Amin Zribi, Sonia Zaibi, Ramesh Pyndiah and Ammar Bouallègue, “Chase-like decoding of arithmetic codes with applications”, Book. This chapter provides overview of video compression techniques, and the latest video coding standard, H/AVC, its implication for the wireless video transmission, and our research contribution on joint source-channel coding for wireless video : Supavadee Aramvith, Rhandley D.

Cajote. [8] Z. Li, F. Zhai, and A. Katsaggelos, "Joint video summarization and transmission adaptation for energy efficient wireless video streaming," EURASIP Journal on Advances in Signal Processing, Special Issue on Wireless Video, vol.Article IDApril Adaptive joint source-channel coding for scalable video minimizes the reconstructed video distortion at the decoder subject to a constraint on the overall transmission bit rate budget.

Introduction Adaptive Joint Source-Channel Coding (AJSCC) optimizes the rate allocation for scalable source and channel coding efficiently. Iterative Joint Source-Channel Decoding for H video transmission using virtual checking method at source decoder Nguyen Quang Nguyen, Lynch, W.E., Tho Le-Ngoc.

Details book ISSN: book ISBN: book e-ISBN: In [1], a practical joint source/channel coding algorithm based on scalable source coders was proposed for the transmission of multiple images sharing a common channel.

It effectively minimizes the expected distortion over all reconstructed images at the receiver end within a. A joint source channel coding strategy for video transmission C. PERRINE, C. CHATELLLIER, S. WANG and C. OLIVIER Laboratoire XLIM-SIC, Université de Poitiers Téléport 2, Bvd M.

et P. Curie, BPF Futuroscope-Chasseneuil cedex Tel: +33 5 49 49 74 41 [email protected] As specified in Sectionjoint source channel decoding is also a good solution to improve the image/video reconstruction quality. While CBP and link adaptation focused on how to transmit efficiently the image/video compressed information, soft decoding algorithms can enhance the quality of the reconstructed data without introducing extra Author: Amin Zribi, Clency Perrine, Yannis Pousset.

Abstract: This study focuses on the mobile video delivery from a video server to a multi-homed client with a network of heterogeneous wireless. Joint Source-Channel Coding is effectively used to transmit video over bandwidth-limited, noisy wireless networks.

But most existing JSCC methods only consider single path video transmission of the server and the client network. Data-Partitioned (DP) H source coded video is used to evaluate the performance of our system employing an iterative combination of RSM assisted soft-bit source decoding (SBSD) and recursive systematic convolution codes (RSC) for transmission over correlated narrowband Rayleigh fading channels.

Original language: English: Title of host publication: Proceedings of SPIE - The International Society for Optical Engineering: Editors: C.-C. Jay Kuo: PagesCited by: 1. Book Description. Visual information is one of the richest and most bandwidth-consuming modes of communication.

To meet the requirements of emerging applications, powerful data compression and transmission techniques are required to achieve highly efficient communication, even in the presence of growing communication channels that offer increased bandwidth.

Cai, J., & Chen, C. Joint source-channel coding with allpass filtering source shaping for image transmission over noisy Proceedings of SPIE - The International Society for Optical Engineering (Vol.pp. ).(Proceedings of SPIE - The International Society for Optical Engineering).Author: Jianfei Cai, Chang Wen Chen.

Book Chapters K. Seshadrinathan, T P. Pahalawatta, T. Pappas, R. Berry, and A. Katsaggelos, "Content-aware resource allocation for scalable video transmission to multiple users over a wireless R.

Berry, and A. Katsaggelos, "An integrated joint source-channel coding framework for video transmission over packet lossy. Joint Source Channel Coding and Diversity Techniques for 3G/4G/LTE-A: A Review of Current Trends and Technologies: /ch There has been a tremendous growth in the joint source channel coding techniques of recent wireless communication system.

The main objective of this techniqueCited by: 1. Adaptive Video Transmission over Wireless MIMO System 33 The most significant criterion in designing a transmission system is the channel capacity limitation.

The available channel capacity restricts the overall transmission rate r, which is the rate between source coding rate k and channel coding rate n.

We have to consider source. Joint Source-Channel Video Transmission (Paperback or Softback) $ $ Free shipping. Report item - opens in a new window or tab. Description; Shipping and payments; eBay item number: Seller assumes all responsibility for this listing.

Item specifics. Condition: Very Good: A book that does not look new and has been read Seller Rating: % positive. To achieve reliable video transmission, a joint source-channel coding scheme based on residual distributed compressive video sensing is proposed for the underwater photon counting communication system.

Signal extraction from single photon pulses, data frame and data verification are specifically by: 3. Naeem Ramzan, Shuai Wan, and Ebroul Izquierdo, “Joint Source-Channel Coding for Wavelet-Based Scalable Video Transmission Using an Adaptive Turbo Code”, EURASIP Journal on Image and Video Processing, vol.

Article ID12 pages, Source and Joint Source-Channel Coding for Video Transmission over Lossy Networks Ph.D. THESIS Author: Simone Milani Coordinator: Prof. Silvano Pupolin Supervisor: Prof. Gian Antonio Mian CORSO DI DOTTORATO IN INGEGNERIA ELETTRONICA E DELLE TELECOMUNICAZIONI – XIX CICLO.

In this research, a JSCC (Joint Source-Channel Coding) video coding system based on the optimization of end-to-end distortions is proposed. To this end, a model describing the rate and distortion of video contents in the error-prone environment is established and by: 4.

2. Joint Source-Channel CELP Model The proposed model for joint source-channel CELP coding is shown as a sequence of blocks in Fig The speech signal source is considered as a sequence of frames, each with 30 ms duration ( samples for 8 kHz sample frequency). After the block of CELP Source Coder, the CELP.Joint source-channel decoding: A cross-layer perspective with applications in video broadcasting.

Academic Press, [Epple] U. Epple and M. Schnell, “Advanced Blanking Nonlinearity for Mitigating Impulsive Interference in OFDM Systems,” in IEEE Transactions on Vehicular Technology, vol.

66, no. 1, pp.Jan. Joint source-channel coding scheme based on residual distributed compressive video sensing is shown in Figure 1.A video sequence consists of several GOPs (group of pictures), where a GOP consists of a key frame and non-key frame; each frame can be seen as a sparse signal of N dimensions [].To ensure the reconstruction performance and reduce the amount of data, the Cited by: 3.