Distributed video coding thesis

Distributed video coding thesis

Distributed Video Coding Thesis The second paper I ordered was a research Distributed Video Coding Thesis report on history. I received high grade and positive feedback from my instructor. Of course, I will order new essays again By making an order beforehand, not only do you save money but also let Distributed Video Coding Thesis your dissertation writer alter the paper as many times as you need within the day free revision period. If you have a complicated task at hand, the best solution is to pick a 3+ day turnaround provides students with professional writing and editing assistance. We help them cope with academic assignments such as essays, articles, term and research papers, theses, dissertations, coursework, case studies, Distributed Video Coding Thesis PowerPoint presentations, book reviews, etc. All delivered papers are samples meant to be used only for Distributed Video Coding Thesis research purposes

To browse Academia. edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser. Skip to main content. edu no longer supports Internet Explorer, distributed video coding thesis. Log In Sign Up. Download Free PDF. Symmetric distributed multiview video coding IEEE International Conference on Acoustics, Speech and Signal Processing, Download PDF.

Download Full PDF Package This paper, distributed video coding thesis. A short summary of this paper. READ PAPER. Symmetric distributed multiview video coding. edu Abstract—Symmetric distributed source coding has made great whole Slepian-Wolf rate region [8], [9], [10]. Though these solutions progress in the past several years. However, few attempts have been tried are elegant, it is difficult to use them to design symmetric distributed to use the symmetric distributed source coding schemes in real data multiview video codec since they implicitly assume that an encoder compression distributed video coding thesis. In this paper, with the inspiration of previous symmetric distributed source distributed video coding thesis schemes, we first put forward a knows the exact bit correspondence between correlated sources.

In the novel syndrome-based symmetric distributed coding scheme which can case of distributed multiview video coding, pixel correspondence be- achieve the whole Slepian-Wolf rate region. Then we propose a general tween two correlated images is not known at the encoder and can only architecture for symmetric distributed multiview video schemes.

Our be inferred at the decoder since there is no communication channel experiments show very encouraging results. In the high-rate case, our scheme can achieve great rate saving from separate H.

Without the assumption of bit correspondence at the same video quality. at the encoders, those approaches fail to decode the original source Index Terms—symmetric distributed multiview video coding, dis- at the decoder. Though the approaches proposed in [11], [12] can tributed source coding, LDPC, nonuniform channel, H. The basic idea is to use lots of research interest in the past decade.

Multiview video systems nonuniform channel [13] to design LDPC codes used for symmetric normally use tens and hundreds of synchronized cameras to capture Slepian-Wolf coding. We then describe a symmetric distributed an enormous amount of video data for storage and transmission. multiview video codec SDMVC that uses the proposed symmetric Therefore, it is indispensable to design efficient and effective com- Slepian-Wolf code and is able to handle the pixel incorrespondence pression algorithms to reduce the size of video data.

A popular ap- problem at the encoder. In addition, the proposed symmetric multi- proach to multiview video compression is to use the traditional block- view video codec can outperform separate H.

stream redundancies among multiple video streams. This is normally referred as joint multiview video coding JMVC. For example, Joint II. S YMMETRIC S LEPIAN -W OLF C ODE Video Team JVT of MPEG and ITU-T is now developing a Joint Since distributed source coding is dual to channel coding, the Multiview Video Model JMVM which is based on the H.

However, JMVC demands communication virtual correlation channel. Thus powerful channel codes such as between cameras to achieve compression. Turbo codes or low density parity check codes LDPC can be Recently distributed multiview video coding DMVCwhich is used to realized Slepian-Wolf codes.

Distributed video coding is the rooted in the distributed source coding theory [2], has gained lots application of Slepian-Wolf codes on video data. Previous distributed of research attention, distributed video coding thesis. Distributed source coding that exploits the multiview video codecs [3] are based on the asymmetric Slepian- statistics of source signals at the decoder to achieve the compression Wolf coding schemes.

Symmetric distributed multiview video coding is essentially different from joint source coding such as methods is expected to achieve better performance by using capacity-achieving standardized by MPEG and H. by exploiting the source statistics at the encoder. We call the proposed approach the Syndrome- many results have been produced [2].

Practical distributed video based Nonuniform Symmetric Slepian-Wolf Coding scheme SNS- coding algorithms have also been developed and [3] summarizes SWC. It is inspired by the work [10], [12]. The basic idea of the recent advances on distributed video coding. In theory, Distributed video coding thesis proposed approach is to design two nonuniform LDPC codes [13] holds the promise to achieve the same compression performance as and let each source transmit a complement set of source bits and JMVC while demanding no communication between cameras.

Several syndrome bits. Its architecture is illustrated in Fig. distributed multiview video codecs [4], [5] are recently proposed.

To facilitate exposition of basic idea, thus limit the rate allocation options between the encoders, distributed video coding thesis. the virtual correlation channel between two sources is assumed to Thirumalai et. al [6] and Taglisacchi et. al [7] use source splitting be a BSC Binary Symmetric Channel.

We intend to design a symmetric Slepian- formance loss. Downloaded on September 15, at from IEEE Xplore. Restrictions apply. Encoding The left part of Fig. Each encoder transmits distributed video coding thesis complement set of source bits and the corresponding syndrome bits.

The Architecture of the Syndrome-based Nonuniform Symmetric C. Decoding Slepian-Wolf Coding Scheme The decoder structure is shown in the right part of Fig. The decoder includes a separate LDPC decoder for each source X and Y. The architecture makes it possible to avoid dependent decoding. is the number of source bits directly transmitted by source X.

Then we [12]. message passing algorithm. The only difference between the decoding Thus the rate of LDPC distributed video coding thesis, rX and rYthat realize the proposed algorithm in SNS-SWC and the original LDPC decoding algorithm symmetric Slepian-Wolf coding scheme should satisfy the following is the initialization of LLR values. The Distributed video coding thesis values X and source Y. LDPC Code Design Symmtric Distributed Symmtric Distributed The LDPC code used in SNS-SWC can be deemed as an LDPC Mulitiview Video Encoder Mulitiview Video Decoder code for two parallel channels as shown in Fig.

The LLR distribution of a received bit can be represented by a single channel by using the two channels. Symmetric H. The proposed BSC p SDMVC uses the SNS-SWC discussed in Section II as the underlying n distributed source coding scheme.

We call our symmetric multiview video coding scheme SDMVC-SNS. The frames of both left and right video Fig. The Illustration of Two Parallel Channels sequences are first quantized and intra-coded as the H. Then the higher bit planes of residual DCT coefficients are coded The proposed LDPC code has similar format to the symmetric by the H, distributed video coding thesis.

The lower bit planes of the residual Slepian-Wolf code in [10]. They both are LDPC codes for a nonuni- DCT coefficients are compressed by the SNS-SWC introduced in form channel [13] which are composed of two parallel channels.

Section II, distributed video coding thesis. Then a rough disparity map is estimated from IR i or the density evolution algorithm of nonuniform channels in [13]. the reconstructed low quality frames. and the higher bit planes. We will elaborate on the details of the where IQ is an inverse quantization function and IDCT is an algorithms below.

inverse discrete cosine transform function. Rp is predicted from the reconstructed A. Handling Pixel Incorrespondence at The Encoder neighbor block, ĉ, at the encoder. To reduce the overhead bits as much as possible and improve the compression performance, we use Corresponding Pixel Regions the following method to encoded the lower bit planes. First, for each wB wB 4x4 block, distributed video coding thesis, the residual coefficients, R, are quantized by QPl to B K U U K B get Rql.

The lower bit planes of Rql are extracted to calculate the QPl QPl QPh QPh QPl QPl syndrome bits which are transmitted distributed video coding thesis the decoder. For pixels in the region K, the lower bit planes of Rql need not be separately left image right image Fig. Handling Pixel Incorrespondence at The Encoder entropy coded since the Rql for blocks in the region K can be entropy coded by using the standard H.

As we know from the architecture of SNS-SWC elaborated in In this way, we avoid using more overhead bits to encode the lower Section II, distributed video coding thesis, the decoding process of SNS-SWC is essentially two sep- bit planes of pixels in the region K. For pixels in the region Uarate asymmetric Slepian-Wolf decoding procedures.

This property the lower bit planes of Rql need distributed video coding thesis be transmitted and are simply makes distributed video coding thesis possible for our scheme to handle the bit incorrespondence discarded. One critical point worthy of note is that the method at the encoder while other approaches such as [9], [8] will fail.

The unknown source bitshif t is a bit shift function. The distributed video coding thesis is that the encoder has bits can be recovered correctly if we can successfully estimate the to pretend to not know the lower bit planes of Rql in the region U and side information and then calculate the correct initial LLR values can use only the higher bit planes, which is known at both encoder for those unknown source bits.

We use Fig. incorrespondence problem at the distributed video coding thesis. For easy exposition, we C.

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BCAWZ Backward Channel Aware Wyner-Ziv Video Coding CABAC Context-Adaptive Binary Arithmetic Coding CAVLC Context-Adaptive Variable-Length Coding CCITT International Telegraph and Telephone Consultative Committee DCT Discrete Cosine Transform DISCUS DIstributed Source Coding Using Syndromes DVC Distributed Video Coding DWT Discrete Wavelet No Distributed Video Coding Thesis matter what the type, the size, and the complexity of the paper are, it will be deeply researched and well-written. We also Distributed Video Coding Thesis work with all academic areas, so even if you need something written Distributed Video Coding Thesis I know that it is a time consuming job to write dissertations. Distributed Video Coding Thesis I had no time to compete my dissertation, but my friend recommended this website. The second paper I ordered was a research report on history. I received high grade and positive feedback from my instructor