scholarly journals Layer Selection in Progressive Transmission of Motion-Compensated JPEG2000 Video

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 1032 ◽  
Author(s):  
José Carmelo Maturana-Espinosa ◽  
Juan Pablo García-Ortiz ◽  
Daniel Müller ◽  
Vicente González-Ruiz
Keyword(s):  
Rate Distortion ◽  
Video Codec ◽  
Experimental Comparison ◽  
Temporal Filtering ◽  
Video Codecs ◽  
File Formats ◽  
Motion Jpeg2000 ◽  
High Level ◽  
Temporal Redundancy ◽  
Client Side

MCJ2K (Motion-Compensated JPEG2000) is a video codec based on MCTF (Motion- Compensated Temporal Filtering) and J2K (JPEG2000). MCTF analyzes a sequence of images, generating a collection of temporal sub-bands, which are compressed with J2K. The R/D (Rate-Distortion) performance in MCJ2K is better than the MJ2K (Motion JPEG2000) extension, especially if there is a high level of temporal redundancy. MCJ2K codestreams can be served by standard JPIP (J2K Interactive Protocol) servers, thanks to the use of only J2K standard file formats. In bandwidth-constrained scenarios, an important issue in MCJ2K is determining the amount of data of each temporal sub-band that must be transmitted to maximize the quality of the reconstructions at the client side. To solve this problem, we have proposed two rate-allocation algorithms which provide reconstructions that are progressive in quality. The first, OSLA (Optimized Sub-band Layers Allocation), determines the best progression of quality layers, but is computationally expensive. The second, ESLA (Estimated-Slope sub-band Layers Allocation), is sub-optimal in most cases, but much faster and more convenient for real-time streaming scenarios. An experimental comparison shows that even when a straightforward motion compensation scheme is used, the R/D performance of MCJ2K competitive is compared not only to MJ2K, but also with respect to other standard scalable video codecs.

Dirac Video Codec

2011 ◽  
pp. 58-94
Author(s):  
Kok Keong ◽  
Myo Tun ◽  
Yoong Choon Chang
Keyword(s):  
Video Coding ◽  
Data Storage ◽  
Video Compression ◽  
Rate Distortion ◽  
Video Codec ◽  
Discrete Wavelet ◽  
Coding System ◽  
Web Content ◽  
Video Codecs ◽  
Block Based

Dirac was started off by British Broadcasting Corp. (BBC) in 2003 as an experimental video coding system based on wavelet technology, which is different from that used in the main proprietary/standard video compression systems. Over the years, Dirac has grown out of its initial development and it is now on offer as an advanced royalty-free video coding system designed for a wide range of users, from delivering low-resolution web content to broadcasting high-definition (HD) and beyond, to near-lossless studio editing. The Dirac’s video coding architecture and algorithms are designed with the “keep it simple” mindset. In spite of that the Dirac seems to give a two-fold reduction in bitrate over MPEG-2 for HD video and broadly competitive with state-of-the-art video codecs. This chapter introduces the architecture of Dirac video encoder. The overall encoding structure is discussed followed by the detail description of motion estimation, Overlapped Block-based Motion Compensation (OBMC), Discrete Wavelet Transform (DWT), Rate Distortion Optimization (RDO) quantization and entropy coding. The Dirac’s bitstream syntax for compressed video data storage and streaming is described. Besides that, the coding performance of Dirac in terms of compression ratio, PSNR, SSIM and VQM in comparison with H.264 as a reference are discussed. Related issues such as transcoding and streaming over packat erasure channel are also discussed.

scholarly journals Comparative Rate-Distortion-Complexity Analysis of HEVC and AVC Video Codecs

2012 ◽  
Vol 22 (12) ◽  
pp. 1885-1898 ◽  
Author(s):  
Jarno Vanne ◽  
Marko Viitanen ◽  
Timo D. Hamalainen ◽  
Antti Hallapuro
Keyword(s):  
Complexity Analysis ◽  
Rate Distortion ◽  
Video Codecs ◽  
Comparative Rate

scholarly journals Comparative Rate-Distortion-Complexity Analysis of VVC and HEVC Video Codecs

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Alexandre Mercat ◽  
Arttu Makinen ◽  
Joose Sainio ◽  
Ari Lemmetti ◽  
Marko Viitanen ◽  
...  
Keyword(s):  
Complexity Analysis ◽  
Rate Distortion ◽  
Video Codecs ◽  
Comparative Rate

scholarly journals Distributed WWW programming using (Ciao-)Prolog and the PiLLoW library

2001 ◽  
Vol 1 (3) ◽  
pp. 251-282 ◽  
Author(s):  
DANIEL CABEZA ◽  
MANUEL HERMENEGILDO
Keyword(s):  
Public Domain ◽  
Point Of View ◽  
Client Server ◽  
Practical Point ◽  
Programming Library ◽  
Level Model ◽  
Structured Documents ◽  
High Level ◽  
Client Side

We discuss from a practical point of view a number of issues involved in writing distributed Internet and WWW applications using LP/CLP systems. We describe PiLLoW, a public-domain Internet and WWW programming library for LP/CLP systems that we have designed to simplify the process of writing such applications. PiLLoW provides facilities for accessing documents and code on the WWW; parsing, manipulating and generating HTML and XML structured documents and data; producing HTML forms; writing form handlers and CGI-scripts; and processing HTML/XML templates. An important contribution of PiLLoW is to model HTML/XML code (and, thus, the content of WWW pages) as terms. The PiLLoW library has been developed in the context of the Ciao Prolog system, but it has been adapted to a number of popular LP/CLP systems, supporting most of its functionality. We also describe the use of concurrency and a high-level model of client-server interaction, Ciao Prolog's active modules, in the context of WWW programming. We propose a solution for client-side downloading and execution of Prolog code, using generic browsers. Finally, we also provide an overview of related work on the topic.

scholarly journals A Novel High Efficiency Fractal Multiview Video Codec

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Shiping Zhu ◽  
Dongyu Zhao ◽  
Ling Zhang
Keyword(s):  
High Efficiency ◽  
Translational Motion ◽  
Three Dimensional ◽  
Rate Distortion ◽  
Spatial Prediction ◽  
Estimation Algorithm ◽  
Video Data ◽  
Video Codec ◽  
Disparity Estimation ◽  
Multiview Video

Multiview video which is one of the main types of three-dimensional (3D) video signals, captured by a set of video cameras from various viewpoints, has attracted much interest recently. Data compression for multiview video has become a major issue. In this paper, a novel high efficiency fractal multiview video codec is proposed. Firstly, intraframe algorithm based on the H.264/AVC intraprediction modes and combining fractal and motion compensation (CFMC) algorithm in which range blocks are predicted by domain blocks in the previously decoded frame using translational motion with gray value transformation is proposed for compressing the anchor viewpoint video. Then temporal-spatial prediction structure and fast disparity estimation algorithm exploiting parallax distribution constraints are designed to compress the multiview video data. The proposed fractal multiview video codec can exploit temporal and spatial correlations adequately. Experimental results show that it can obtain about 0.36 dB increase in the decoding quality and 36.21% decrease in encoding bitrate compared with JMVC8.5, and the encoding time is saved by 95.71%. The rate-distortion comparisons with other multiview video coding methods also demonstrate the superiority of the proposed scheme.

scholarly journals On the Performance of Video Quality Assessment Metrics under Different Compression and Packet Loss Scenarios

2014 ◽  
Vol 2014 ◽  
pp. 1-18 ◽  
Author(s):  
Miguel O. Martínez-Rach ◽  
Pablo Piñol ◽  
Otoniel M. López ◽  
Manuel Perez Malumbres ◽  
José Oliver ◽  
...  
Keyword(s):  
Quality Assessment ◽  
Ad Hoc ◽  
Mobile Ad Hoc Network ◽  
Video Quality ◽  
Rate Distortion ◽  
Video Codec ◽  
Node Mobility ◽  
Packet Losses ◽  
Assessment Metrics ◽  
Assess Quality

When comparing the performance of video coding approaches, evaluating different commercial video encoders, or measuring the perceived video quality in a wireless environment, Rate/distortion analysis is commonly used, where distortion is usually measured in terms of PSNR values. However, PSNR does not always capture the distortion perceived by a human being. As a consequence, significant efforts have focused on defining an objective video quality metric that is able to assess quality in the same way as a human does. We perform a study of some available objective quality assessment metrics in order to evaluate their behavior in two different scenarios. First, we deal with video sequences compressed by different encoders at different bitrates in order to properly measure the video quality degradation associated with the encoding system. In addition, we evaluate the behavior of the quality metrics when measuring video distortions produced by packet losses in mobile ad hoc network scenarios with variable degrees of network congestion and node mobility. Our purpose is to determine if the analyzed metrics can replace the PSNR while comparing, designing, and evaluating video codec proposals, and, in particular, under video delivery scenarios characterized by bursty and frequent packet losses, such as wireless multihop environments.

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