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About 2,156 papers for “Scalable Video Coding”

Scalable Video Coding

Roya Choupani · Research Repository (Delft University of Technology) · 2017

With the rapid improvements in digital communication technologies, distributing high-definition visual information has become more widespread. However, the available technologies were not sufficient to support the rising demand for high-definition video. This situation is further complicated when the network resources such as the available bandwidth fluctuates, or packet losses occur during transmission. In this dissertation we present several video compression techniques which are capable of adapting with the varying network conditions. We address both challenges namely, the fluctuations in the available resources such as the bandwidth and processing power, and packet losses.<br/>These problems in turn translates into degradation of the perceived video playback as jitter, and delay before video playback starts. Hence, we concentrate on developing robust and fast adaptive video coding schemes necessary for handling the changes in the physical characteristics of the communication networks. We present a new multi-layer scalable video coding (SVC) method for optimizing the bit-per-pixel rate of the video which is robust against packet losses. The method reduces the quality degradation in presence of data loss by re-organizing the frames in a hierarchical structure and improving the video quality through decomposing each frame suitably to restrict the error propagation.<br/>Moreover, we present a solution for the quality degradation in video reconstruction when the video is scrambled for privacy protection. We also present two methods based on multiple description video coding (MDC) to handle packet losses in networks with a high rate of transmission error.<br/>The proposed methods are based on combining SVC with MDC through decomposing the video into spatial sub-streams in the first method, and SNR sub-streams in the second method. In both proposed methods, the error resilience of the video is increased. The proposed methods have the capability of being used as SVC methods where any data loss or corruption reduces the quality of the video in a minimized way, and except for the case when all descriptions are lost, the video streams do not experience jitter at playback. The proposed methods provide the feasibility of reducing data rate by scaling down the video whenever the connection suffers from a low bandwidth problem. We also propose Discrete Wavelet Transform (DWT)-based optimizations for MDC. A major drawback in MDC methods is their inefficiency in terms of bit-per-pixel which is a consequence of preserving correlation between decomposed video segments. We propose a method based on the self-similarity between DWT coefficients at different frequency levels to improve the coding efficiency of DWT-based MDC. In the proposed method, whenever a description is lost the coefficients at the delivered descriptions are utilized for estimating the missing data using self-similarity property.

Cited by 0Open access

Scalable Video Coding

Zafar Shahid, Marc Chaumont, William Puech · InTech eBooks · 2011

With the evolution of Internet to heterogeneous networks both in terms of processing power and network bandwidth, different users demand the different versions of the same content. This has given birth to the scalable era of video content where a single bitstream contains multiple versions of the same video content which can be different in terms of resolutions, frame rates or quality. Several early standards, like MPEG2 video, H.263, and MPEG4 part II already include tools to provide different modalities of scalability. However, the scalable profiles of these standards are seldom used. This is because the scalability comes with significant loss in coding efficiency and the Internet was at its early stage. Scalable extension of H.264/AVC is named scalable video coding and is published in July 2007. It has several new coding techniques developed and it reduces the gap of coding efficiency with state-of-the-art non-scalable codec while keeping a reasonable complexity increase. After an introduction to scalable video coding, we present a proposition regarding the scalable functionality of H.264/AVC, which is the improvement of the compression ratio in enhancement layers (ELs) of subband/wavelet based scalable bitstream. A new adaptive scanning methodology for intra frame scalable coding framework based on subband/wavelet coding approach is presented for H.264/AVC scalable video coding. It takes advantage of the prior knowledge of the frequencies which are present in different higher frequency subbands. Thus, by just modification of the scan order of the intra frame scalable coding framework of H.264/AVC, we can get better compression, without any compromise on PSNR.

Cited by 2Open access

SCALABLE VIDEO CODING METHOD

ADAMI N, BRESCIANINI M, LEONARDI R et al. · Institutional Research Information System (Università degli Studi di Brescia) · 2005

Publication Number: WO/2006/040793\tInternational Application No.:\t \tPCT/IT2005/000599\n Publication Date: 20.04.2006 \t\n International Filing Date: 12.10.2005\n Numero di pubblicazione Europeo: 1810519 (European Patent Bulletin 25 luglio 2007)

Cited by 0

Frequency scalable video coding

Johnson., Andrew William · Monash University · 2021

This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.

Cited by 0Open access

Frequency scalable video coding

Johnson., Andrew William · Figshare · 2021

This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.

Cited by 0Open access

HIGHLY SCALABLE VIDEO COMPRESSIONWITH SCALABLE MOTION CODING

David Taubman, Andrew Secker · 2015

For a scalable video coder to remain efficient over a wide range of bit-rates, some form of scalability must exist in the motion information. We propose a wavelet-based highly scalable video coder with scalable motion coding. Our proposed method involves the construction of quality layers for the coded wavelet sample data and a separate set of quality layers for scalably coded motion parameters. When the motion layers are truncated, the decoder receives a quantized version of the motion parameters used to gen-erate the wavelet sample data. A linear model is used to infer the impact of motion quantization on reconstructed video distortion. An optimal tradeoff between the motion and subband bit-rates may then be found. Experimental results indicate that the cost of scal-ability is small. At low bit-rates, significant improvements are ob-served relative to lossless coding of the motion information. 1.

Cited by 0

Computation-scalable algorithm for scalable video coding

Te-Heng Wang, Mei‐Juan Chen, Ming-Chieh Chi et al. · IEEE Transactions on Consumer Electronics · 2011

This paper presents a strategy that efficiently allocates the limited resource and still maintains the coding performance for the spatial scalability of H.264/SVC. An integrated computation-scalable algorithm is proposed on the basis of priority-based mode decision (PBMD) and activity-based motion estimation (ABME). The rate-distortion cost (RD-cost) of base layer is utilized as the priority to decide the mode in the enhancement layer, and the motion vector difference (MVD) in the base layer is employed to determine the search range as well. Through the proposed approach, computation complexity of the enhancement layer could be reduced efficiently and well allocated. A fast algorithm with early termination mechanism is also proposed in this paper. Experimental results demonstrate that the various rate-distortion and time-saving performances with computation scalability are realized.

Cited by 10

Scalable Intra Coding Optimization for Video Coding

Jiaqi Zhang, Meng Wang, Chuanmin Jia et al. · IEEE Transactions on Circuits and Systems for Video Technology · 2022

Flexible block partition and newly adopted intra coding tools bring significant performance improvement for next generation video coding, and meanwhile introduce non-negligible encoding complexity increment. This paper presents a scalable intra coding optimization (SICO) scheme for the third generation of audio video coding standard (AVS3). The complexity distribution and inheriting relationship among different partitioning, as well as intra prediction modes, are systematically analyzed. Subsequently, low-complexity algorithms are proposed, which could early exclude unlikely coding modes safely. In particular, a data-driven binary classifier is elegantly trained for the determination of coding unit partitioning. Moreover, the preliminary coding information can be exhaustively utilized for the mode decision in a low-cost manner. The proposed method provides scalable intra coding optimizing solutions, which is eligible to cater to various application scenarios. Experimental results show that the proposed method could achieve a wide range of encoding complexity reduction from 18% to 76% with moderate compression performance loss. One implementation of the proposed method has been adopted to the AVS3 reference software.

Cited by 10

1SNR Scalable Layered Video Coding

Peter Amon, Klaus Illgner, Jürgen P · 2014

Scalable video coding gets currently increasing attention in the community and was already a major research area for some time. In the scientific literature a broad variety of different approaches are published and the standardisation bodies included this functionality in some profiles, for instance MPEG-4 FGS [1]. Nevertheless, scalable video coding approaches are rarely used in practical appli-

Cited by 0

Bit-Depth Scalable Video Coding

Martin Winken, Detlev Marpe, Heiko Schwarz et al. · Proceedings - International Conference on Image Processing · 2007

Scalable video coding (SVC) is an extension of H.264/AVC, which is currently being developed by the Joint Video Team. SVC supports any combination of temporal, spatial, and SNR scalability, but there is no special treatment for the case that two or more different bit-depths have to be supported by the scalable bit-stream. There is a number of applications (especially in the HD area) which would benefit from a design where an H.264/AVC conforming base layer with a sample bit-depth of typically 8 bit is extended in a backwards compatible way by an higher bit-depth enhancement layer. In this paper we present new techniques which can be used to achieve bit-depth scalability and show experimental results.

Cited by 47

Low Complexity Scalable Video Coding

Cheolhong An, Truong Q. Nguyen · 2006

In this paper, we consider scalable video coding (SVC) which has higher complexity than H.264/AVC since it has spatial, temporal and quality scalability in addition to H.264/AVC functionality. Furthermore, inter-layer prediction and layered coding for spatial scalability make motion estimation and mode decision more complex. Therefore, we propose low complexity SVC schemes by using current developing SVC standard. It is archived by prediction method such as skip, direct, inter-layer MV prediction with fast mode and motion vector (MV) estimation at enhancement layer. In order to increase the performance of inter-layer MV prediction, combined MV interpolation is applied with adjustment of prediction direction. Additionally, fast mode and MV estimation are proposed from structural properties of motion-compensated temporal filtering (MCTF) to elaborate predicted macro block (MB) mode and MV. From the experimental results, proposed method has comparable performance to reference software model with significant lower complexity.

Cited by 6

Multiple Descriptions Scalable Video Coding

Christophe Tillier, Béatrice Pesquet‐Popescu, Mihaela van der Schaar · INFM-OAR (INFN Catania) · 2004

Publication in the conference proceedings of EUSIPCO, Viena, Austria, 2004

Cited by 16Open access

Method of Scalable Video Coding

ADAMI, Nicola, BRESCIANINI, Michele, LEONARDI, Riccardo et al. · Institutional Research Information System (Università degli Studi di Brescia) · 2005

A method of scalable video coding in which the video signal is processed and coded at various layers of spatial resolution where between each pair of spatial layers a prediction mechanism is enabled which allows a comparison at homologous layers of spatial resolution with the aim to obtain a good efficiency.

Cited by 0Open access

Temporal resolution scalable video coding

A. Puri, Yan Li, Barry G. Haskell · 2002

Scalable video coding is important in a number of applications where video needs to be decoded and displayed at a variety of spatial and temporal resolution scales or when resilience to errors is necessary. In this paper, we investigate a temporal-domain approach for resolution scalable video coding. This approach was originally proposed to and since then has been included in the Moving Picture Experts Group (MPEG-2) standard. Temporal scalability, although not limited to, is particularly useful for applications such as, HDTV as well as for high quality telecommunication applications that may require high frame rate (e.g., 60 Hz) progressive video. Furthermore, it allows flexibility in use of progressive or interlaced video formats for coding even though the source video may be progressive with high frame rate. Our technique builds on the motion-compensated DCT framework of nonscalable (single layer) MPEG-2 video coding and adds motion compensated inter-layer coding. In our simulations we focus on the 2- layer temporally scalable coding and compare the performance of using progressive video format for both layers to that when interlaced video format is used for both layers; all interim video formats used are derived from original high temporal resolution progressive video. In each case we compare the performance of two inter-layer prediction configurations and evaluate their prediction efficiency.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Cited by 9