The High Efficiency Video Coding (HEVC) standard provides a substantial improvement in coding efficiency over previous video coding standards at the cost of a higher computational complexity. HEVC employs a quadtree based image structure by partitioning the image into coding units (CUs). Finding the optimal CU size in terms of rate-distortion is one of the most computationally challenging parts of any HEVC encoder.
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The growing need for a powerful scalable video coding engine targeting the heterogeneous landscape of network, devices, and consumption environments has led to the development of the Scalable High Efficiency Video Coding (SHVC) standard, an extension of the High Efficiency Video Coding (HEVC) standard. To improve the SHVC compression efficiency, this paper proposes a novel joint layer coding mode to be integrated in the SHVC codec.
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- Read more about Impact Analysis of Baseband Quantizer on Coding Efficiency for HDR Video
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Digitally acquired high dynamic range (HDR) video baseband signal can take 10 to 12 bits per color channel. It is economically important to be able to reuse the legacy 8 or 10-bit video codecs to efficiently compress the HDR video. Linear or nonlinear mapping on the intensity can be applied to the baseband signal to reduce the dynamic range before the signal is sent to the codec, and we refer to this range reduction step as a baseband quantization. We show analytically and verify using test sequences that the use of the baseband quantizer lowers the coding efficiency.
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- Read more about GPU Acceleration of the HEVC Decoder Inter Prediction Module
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The inter prediction decoding is one of the most time consuming modules in modern video decoders, which may significantly limit their real-time capabilities. To circumvent this issue, an efficient acceleration of the HEVC inter prediction decoding module is proposed, by offloading the involved workload to GPU devices. The proposed approach aims at efficiently exploiting the GPU resources by carefully managing the processing within the computational kernels, as well as by optimizing the usage of the complex GPU memory hierarchy.
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- Read more about Saliency Guided Wavelet Compression for Low-Bitrate Image and Video Coding
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We propose an improved saliency guided wavelet
compression scheme for low-bitrate image/video coding applications.
Important regions (faces in security camera feeds,
vehicles in traffic surveillance) get degraded significantly at low
bitrates by existing compression standards, such as JPEG/JPEG-
2000/MPEG-4, since these do not explicitly utilize any knowledge
of which regions are salient. We design a compression algorithm
which, given an image/video and a saliency value for each
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- Read more about Performance Evaluation of Kvazaar HEVC Intra Encoder on Xeon Phi Many-core Processor
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This presentation analyzes parallel scalability and coding speed of our open-source Kvazaar HEVC intra encoder on Intel Xeon Phi 61-core coprocessor that supports up to four hardware threads per core. The evaluated parallelization schemes of Kvazaar are 1) Wavefront Parallel Processing (WPP); and 2) tiles, both accelerated with picture-level parallel processing. With WPP, the C implementation of Kvazaar high-quality preset achieves an average speedup of 1.3 and a bit rate gain of 0.7% over the respective implementation of x265.
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- Read more about Fast Coding Unit Selection Based on Local Texture Characteristics for HEVC Intra Frame
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- Read more about Compression of Human Body Sequences Using Graph Wavelet Filter Banks
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The next step in immersive communication beyond video from a single camera is object-based free viewpoint video, which is the capture and compression of a dynamic object such that it can be reconstructed and viewed from an arbitrary viewpoint. The moving human body is a particularly useful subclass of dynamic object for object-based free viewpoint video relevant to both telepresence and entertainment.
06854786.pdf

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Lecture notes @ Univ. Maryland
for ENEE408G Capstone Design: Multimedia Signal Processing
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