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Recently, Distributed Video Coding (DVC) has been actively studied as a solution to the growing demands on light video encoder. However, DVC shifts the complexity from the encoder to the decoder side, and in some applications it needs unacceptably long decoding time and/or big computing power. In this paper, we propose a Wyner-Ziv (WZ) video coding which extracts fast moving regions called Region-Of-Interest...
Bitrate adaptation and higher compression ratio are the major issues in world of Video compression. H.264 is the latest standard for video compression with high flexibility in compression ratio, quality of video and rate adaptation. This paper explores the possibility of bitrate reduction and proposes an algorithm to calculate the cost of each 8x8 subMacroblocks. Based on the threshold and the cost...
It is need to carry on the compression to the remote sensing image for the speedy transmission and the effective memory remote sensing image. The multi-spectrum remote sensing image has the very strong relevance among spectrums. In multi-wave band image compression, to eliminate the spectrum relevance, both must consider to eliminate the statistical dependence, and to eliminate the structure relevance...
This paper presents a new approach for digital image watermarking and for transmission of watermarked images over bursty wireless channels. In this approach, biorthogonal wavelet transform based method is proposed for digital image watermarking and turbocoded JPEG2000 is proposed for correction of transmission errors due to the bursty wireless channels. The proposed approach is corroborated with implementation...
Multiview coding is an enabling technique which facilitates stereo-vision and 3D applications. Compression ratios can be improved by taking reference frames across different viewpoints. However, the inter-view dependency yields additional drift errors. This paper applies multiple description coding technique for multi-view video to reduce the probability of corrupted video frames for streaming applications...
This paper focuses on the rate-distortion optimization of low-delay 3D video communications based on the latest H.264/MVC video coding standard. The first part of the work proposes a new low-complexity model for distortion estimation suitable for low-delay stereoscopic video communication scenarios such as 3D videoconferencing. The distortion introduced by the loss of a given frame is investigated...
H.264 adopts variable length coding and interprediction techniques, so compressed image is very sensitive to channel error. Meanwhile errors will influence subsequent frames, easily leading to the distortion of rebuilding images. To enhance the quality of reconstructed images, this text proposes a weighted outer boundary matching algorithms based on multiple reference frames, which exploits the characteristic...
As advanced error correction codes (ECC) which support soft decoding is suggested to use in the future NAND flash memories, the requirement of sensing and transferring multi-bit soft information from the flash cells to controller will incur a large read access latency. This paper proposes to exploit the lossless compressibility of files in LDPC coded NAND flash memories to reduce such latency overhead,...
In connection with the trend at Compression Solution For Monitoring Video Based On H.264, this paper propose an Efficient Compression Solution For Monitoring Video based on removal of redundant content, and describe it with the idea of Content Detection and Layered Quantization. This paper focus on the methods and implementation process of Macroblock-level layered quantization, and also analysis the...
Both Data hiding and data compression are very important technologies in the field of image processing. It seems that there is no relationship between data hiding and data compression because most of the data hiding mechanisms focus on information security and the data compression mechanisms emphasize the compression ratio. In fact, they are closely related. Until now, there are many literatures to...
This paper proposes a compound image compression method named United Coding (UC). In this coding method, several lossless coding techniques such as run-length encoding (RLE), Portable Network Graphics (PNG) and gzip are combined into H.264 hybrid coding, and macroblock is the basic coding unit. All coders in UC are used to code each macroblock, and rate-distortion (R-D) optimization criterion is applied...
This paper presents a fragile, blind and erasable watermark with low video quality degradations, the watermarking is done after the H.264 compression process. The framework computes a watermark, embeds the watermark and generates a new H.264 bit stream. The payload of the watermark consists of the encrypted hash value and a certificate with the public key. Some skipped macroblocks of the H.264 video...
In contrast with the traditional video compression system, Distributed Video Coding (DVC) architecture dramatically shifts the complexity from the encoder to the decoder. This low-cost encoding concept can be exploited in the emerging applications, e.g. wireless sensor networks. In order to increase the compression efficiency, improvement of side information generation and refinements of Correlation...
For wavelet-based image compression algorithm, it focuses on the hierarchical trees algorithm (SPIHT) and makes description of the principle and process of the algorithm. Apply MATLAB to convert the gray image by wavelet transformation, then conduct coding on wavelet transform image coefficients SPIHT. The received bit stream obtained by decoding and inverse wavelet transform the reconstructed image...
In a multi-camera setup, inter-sensor statistical redundancy should be eliminated most significantly to achieve higher compression efficiency. This consequently saves the required bandwidth for the resultant piece of information coming out of a camera sensor network. In this research work, Moving Picture Expert Group (MPEG) a video compression standard has been extended to eliminate inter-sensor statistical...
Video compression and streaming over lossy wireless networks is the current trend in telecommunication and encouraged by major carriers to increase their services portfolio. However, the technological challenges are still tackled to enable the delivery of high quality video. In our previous work, we developed a per stream distortion model that is based on the extended Gilbert model. We expanded our...
The compress-and-forward relay scheme developed by (Cover and El Gamal, 1979) is modified by realizing that it is not necessary for the destination to decode the compressed observation of the relay; and even if the compressed observation is to be decoded, it can be more easily done by joint decoding with the original message, rather than in a successive way. This modification introduces flexibility...
In this paper a novel methodology to automatically identify and localize the Trademarks from video using compress domain features of H.264 video is proposed. We have used the H.264 video stream as input and use some compress domain features obtained during parsing and decoding process of the stream to identify the text regions. The features used in our approach are (i) Edge strength information for...
Rapidly evolving markets and application demands of digital consumer electronics are pushing more functionality to software, increasing also requirements for memory capacity of systems. There have been efforts to reduce the need for memories by for example compressing the program code and thus also program memory footprint. We have previously introduced an effective code compression scheme, and in...
We study the error-resilient Slepian-Wolf compression for correlated binary sources in this paper. In previous works, the compressed bits are usually assumed to be transmitted in a perfect channel and thus, received without any error. However, we introduce the Gaussian channel and protect the compressed bits with error-protection (EP) codes. A joint decoding and decompressing structure based on the...
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