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检索条件"任意字段=Digital Video Compression: Algorithms and Technologies 1996"

共 515 条记录，以下是141-150 订阅

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Adaptive Sample Map for Monte Carlo Ray Tracing

Adaptive Sample Map for Monte Carlo Ray Tracing

引用

Conference on Visual Communications and Image Processing (VCIP)

作者： Teng, Jun Luo, Lixin Chen, Zhibo Thomson Broadband R&D Beijing Co Ltd Video Proc & Compress Lab Corp Res Beijing Beijing Peoples R China Beihang Univ Dept Comp Sci & Engn Beijing Peoples R China

ISBN: (纸本)9780819482341

Monte Carlo ray tracing algorithm is widely used by production quality renderers to generate synthesized images in films and TV programs. Noise artifact exists in synthetic images generated by Monte Carlo ray tracing methods. In this paper, a novel noise artifact detection and noise level representation method is proposed. We first apply discrete wavelet transform (DWT) on a synthetic image;the high frequency sub-bands of the DWT result encode the noise information. The sub-bands coefficients are then combined to generate a noise level description of the synthetic image, which is called noise map in the paper. This noise map is then subdivided into blocks for robust noise level metric calculation. Increasing the samples per pixel in Monte Carlo ray tracer can reduce the noise of a synthetic image to visually unnoticeable level. A noise-to-sample number mapping algorithm is thus performed on each block of the noise map, higher noise value is mapped to larger sample number, and lower noise value is mapped to smaller sample number, the result of mapping is called sample map. Each pixel in a sample map can be used by Monte Carlo ray tracer to reduce the noise level in the corresponding block of pixels in a synthetic image. However, this block based scheme produces blocky artifact as appeared in video and image compression algorithms. We use Gaussian filter to smooth the sample map, the result is adaptive sample map (ASP). ASP serves two purposes in rendering process;its statistics information can be used as noise level metric in synthetic image, and it can also be used by a Monte Carlo ray tracer to refine the synthetic image adaptively in order to reduce the noise to unnoticeable level but with less rendering time than the brute force method.

关键词： Synthetic image Monte Carlo ray tracing noise artifact rendering acceleration

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FPGA Based Symmetric Multi-core Processors for Optimized Performance of H.264 Encoder

FPGA Based Symmetric Multi-core Processors for Optimized Per...

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International Conference on Advances in Recent technologies in Communication and Computing, ARTCom

作者： E. MuraliKrishnan E. Gangadharan P. NirmalKumar Department of Electronics and Instrumentation Engineering Anand Institute of Higher Technology Chennai India Department of Electronics and Communication Engineering Anand Institute of Higher Technology Chennai India Department of Electronics and Communication Engineering Anna University Chennai India

digital video technology is burgeoning new standards broadening the gamut of prerequisites such as high definition video quality and more resolution substantially at lower bit rates than previous standards. Among the latest video compression algorithms, the newly established H.264 standard has become increasingly popular. However, the high coding efficiency of it comes at the cost of increase in computational complexity which makes the real-time implementation a great challenge. Previous works in video compression implement a dual core DSP processor executing this composite H.264 algorithm in parts, but has certain bottlenecks like timing, reliability and efficiency with a small overhead of synchronization. With higher interprocessor bus speeds, streamlined memory and a highly programmable FPGA multi-core architecture the limitations of current platforms based on DSPs and ASICs can be overwhelmed. This paper presents an FPGA based multicore processor implementation to optimize the H.264 encoder performance between the cores providing scalability, attaining load balance among the cores and parallel execution reducing the dependability of resources. This enables a more effectual use of processing power of the cores.

关键词： Field programmable gate arrays Multicore processing Streaming media digital signal processing Encoding Motion estimation Image coding

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Content-Aware Packet Scheduling for Multiuser Scalable video Delivery Over Wireless Networks

Content-Aware Packet Scheduling for Multiuser Scalable Video...

引用

Conference on Applications of digital Image Processing XXXII

作者： Maani, Ehsan Pahalawatta, Peshala V. Berry, Randall Katsaggelos, Aggelos K. Northwestern Univ EECS Dept Evanston IL 60208 USA Dolby Labs Image Technol Grp Burbank CA USA

ISBN: (纸本)9780819477330

Wireless video transmission is prone to potentially low data rates and unpredictable degradations due to time-varying channel conditions. Such degradations are difficult to overcome using conventional video coding techniques. Scalable video coding offers a flexible bitstream that can be dynamically adapted to fit the prevailing channel conditions. Advances in scalable video compression techniques, such as the newly adopted scalable extension of H.264/AVC, as well as recent advances in wireless access technologies offer possibilities for tackling this challenge. In this paper, a content-aware scheduling and resource allocation scheme is proposed, that uses a gradient-based scheduling framework in conjunction with scalable video coding techniques to provide multiple high quality video streams over a range of operating conditions to multiple users. Simulation results show that the proposed scheme performs better than conventional content-independent scheduling techniques.

关键词： Scalable video coding wireless video streaming cross-layer design

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Graduation Project Implementation of Hardware digital DCT based Image coder

Graduation Project Implementation of Hardware Digital DCT ba...

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26th National Radio Science Conference (NRSC 2009)

作者： Aly, Ahmed Osama Aly, Perihane Ahmed Daniel, Sherif Roshdy Fahmy, Gamal German Univ Cairo Egypt

ISBN: (纸本)9781424442140

Visual media is growing massively at a rapid pace. This is due to the advancement of broadband networks/internet, DSP/media processors and VLSI technology. Application areas include high definition television, multimedia communications and teleconferencing. Despite rapid increase in mass-storage density, processor speeds, and digital communication data rates, the demand for visual data storage and visual data transmission bandwidth continues to surpass the capabilities of available technologies. Hence, there have been increasing efforts to develop reliable visual data compression techniques that provide a cost effective solution for the storage and transmission of visual data. The recent MPEG 4 and JPEG 2000 standards address the need for content-based compression, coding and manipulation of visual media. With the evolution and inexpensiveness of hardware programmable devices such as Field Programmable Gate Arrays (FPGA's), the implementation and realization of different image and video coding algorithms has become possible and affordable in many of the visual data communication and storage industries, such as digital TV receivers, mobile devices and internet communications servers.

关键词： Teleconferencing

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compression of multispectral fluorescence microscopic images based on a modified set partitioning in hierarchal trees

Compression of multispectral fluorescence microscopic images...

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Conference on Image Processing - algorithms and Systems VII

作者： Mansoor, Awais Robinson, J. Paul Rajwa, Bartek Purdue Univ Sch Elect & Comp Engn 465 Northwestern Ave W Lafayette IN 47907 USA Purdue Univ Bindley Biosci Ctr W Lafayette IN 47907 USA

ISBN: (纸本)9780819474957

Modern automated microscopic imaging techniques such as high-content screening (HCS), high-throughput screening, 4D imaging, and multispectral imaging are capable of producing hundreds to thousands of images per experiment. For quick retrieval, fast transmission, and storage economy, these images should be saved in a compressed format. A considerable number of techniques based on interband and intraband redundancies of multispectral images have been proposed in the literature for the compression of multispectral and 3D temporal data. However, these works have been carried out mostly in the fields of remote sensing and video processing. compression for multispectral optical microscopy imaging, with its own set of specialized requirements, has remained under-investigated. digital photography-oriented 2D compression techniques like JPEG (ISO/IEC IS 10918-1) and JPEG2000 (ISO/IEC 15444-1) are generally adopted for multispectral images which optimize visual quality but do not necessarily preserve the intergrity of scientific data, not to mention the suboptimal performance of 2D compression techniques in compressing 3D images. Herein we report our work on a new low bit-rate wavelet-based compression scheme for multispectral fluorescence biological imaging. The sparsity of significant coefficients in high-frequency subbands of multispectral microscopic images is found to be much greater than in natural images;therefore a qaud-tree concept such as Said et al.'s SPIHT1 along with correlation of insignificant wavelet coefficients has been proposed to further exploit redundancy at high-frequency subbands. Out work propose a 2D extension to SPIHT, incorporating a new hierarchal inter- and intra-spectral relationship amongst the coefficients of 3D wavelet-decomposed image. The new relationship, apart from adopting the parent-child relationship of classical SPIHT, also brought forth the conditional "sibling" relationship by relating only the insignificant wavelet coefficients of

关键词： 3D SPINT fluorescence multispectral imaging optical microscopy

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Visual media coding and transmission /

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2009年

作者： [edited by] Ahmet Kondoz.

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Research and Realization of Improved Algorithm for H.264/AVC Oriented to video Conference under the RTI Framework

Research and Realization of Improved Algorithm for H.264/AVC...

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International Conference on the digital Society

作者： Wei Zheng Jun Cao Chenglie Du Shuming Zhang School of Computer Science and Engineering Northwestern Polytechnical University Xi'an China

video data compression is one the core technologies of video conference, which aims to enable significantly high performance data coding. In order to achieve this, a robust rate-distortion optimization (RDO) technique is needed to be employed to select the best coding mode This paper presents optimization solution about inter prediction mode decision algorithm of H.264/AVC for video conference under the HLA/RTI framework. Our objective is to reduce the computational complexity of the CODEC (coder & decoder) with insignificant rate-distortion performance degradation.

关键词： Automatic voltage control videoconference video compression Rate-distortion Data compression Robustness Prediction algorithms Computational complexity Codecs Decoding

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A Unified Framework for Analysis of MPEG-4 algorithms and CODEC Development

A Unified Framework for Analysis of MPEG-4 Algorithms and CO...

引用

International Conference on Computer Sciences and Convergence Information Technology (ICCIT)

作者： S. Vijayalakshmi D. Prabu T. M. Vinodhvenkatesh School of Computing Sciences VIT University Vellore India Wipro Technologies School of Computing Sciences NJ USA Jasmin Info-tech Pvt Ltd' Chennai India

Due to rapid increase in data growth and tremendous advancement in digital video technology, it becomes necessary to minimize the amount of data to be transmitted. There are various compression-standards widely used to store and transmit data in efficient manner such as, MPEG-1, MPEG-2 and MPEG-4 standards address the audio, video and speech data effectively. MPEG-4 comprises the features of both standards as well object slicing. In this proposed work we addressed the effectiveness of video compression, Analysis of MPEG-4 block matching algorithms and the CODEC development. The results of MPEG-4 and CODEC achieve high compression ratio, low computational complexity and with good resolution are encouraging.

关键词： Algorithm design and analysis MPEG 4 Standard Codecs video compression Motion estimation video coding Transform coding Computational complexity digital signal processing Bandwidth

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Acquisition, compression and Rendering of Depth and Texture for Multi-View video

Acquisition, Compression and Rendering of Depth and Texture ...

引用

作者： Yannick Morvan Technische Universiteit Eindhoven

Three-dimensional (3D) video and imaging technologies is an emerging trend in the development of digital video systems, as we presently wit- ness the appearance of 3D displays, coding systems, and 3D camera se- tups. Three-dimensional multi-view video is typically obtained from a set of synchronized cameras, which are capturing the same scene from different viewpoints. This technique especially enables applications such as free- viewpoint video or 3D-TV. Free-viewpoint video applications provide the feature to interactively select and render a virtual viewpoint of the scene. A 3D experience such as for example in 3D-TV is obtained if the data rep- resentation and display enable to distinguish the relief of the scene, i. e., the depth within the scene. With 3D-TV, the depth of the scene can be perceived using a multi-view display that renders simultaneously several views of the same scene. To render these multiple views on a remote dis- play, an efficient transmission, and thus compression of the multi-view video is necessary. However, a major problem when dealing with multi- view video is the intrinsically large amount of data to be compressed, de- compressed and rendered. We aim at an efficient and flexible multi-view video system, and explore three different aspects. First, we develop an al- gorithm for acquiring a depth signal from a multi-view setup. Second, we present efficient 3D rendering algorithms for a multi-view signal. Third, we propose coding techniques for 3D multi-view signals, based on the use of an explicit depth signal. This motivates that the thesis is divided in three parts. The first part (Chapter3) addresses the problem of 3D multi-view video acquisition. Multi-view video acquisition refers to the task of estimating and recording a 3D geometric description of the scene. A 3D descrip- tion of the scene can be represented by a so-called depth image, which can be estimated by triangulation of the corresponding pixels in the multiple views. Initial

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An automatic wavelet-based nonlinear image enhancement technique for aerial imagery

An automatic wavelet-based nonlinear image enhancement techn...

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International Conference on Recent Advances in Space technologies (RAST)

作者： Numan Unaldi Samil Temel Vijayan K. Asari Zia-ur Rahman Turkish Air Force Academy Istanbul Turkey ECE Department Old Dominion University Norfolk VA USA

Recently we proposed a wavelet-based dynamic range compression algorithm to improve the visual quality of digital images captured in the high dynamic range scenes with non-uniform lighting conditions. The fast image enhancement algorithm which provides dynamic range compression preserving the local contrast and tonal rendition is a very good candidate in aerial imagery applications such as image interpretation for defense and security tasks. This algorithm can further be applied to video streaming for aviation safety. In this paper the latest version of the proposed algorithm which is able to enhance aerial images so that the enhanced images are better then direct human observation, is presented. The results obtained by applying the algorithm to numerous aerial images show strong robustness and high image quality.

关键词： Image enhancement Dynamic range compression algorithms digital images Layout Heuristic algorithms Image coding Security Streaming media Safety

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