Performance analysis of the scalable video coding standard

Alfonso, Daniele; Gherardi, Matteo; Vitali, Andrea; Rovati, F.

doi:10.1109/packet.2007.4397047

Cited by 14 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Also, [24] presents a complexity model for decoding a bit stream with temporal, spatial, or quality scalability. Furthermore, Ma and Wang [25] provided an overview of new features of the SVC standard, evaluating their rate-distortion performance and computational complexity. Still further, Tan et al [26] proposed a singularly parameterized complexity-scalable scheme for designing power-aware H.264-based video encoders.…”

Section: Complexity-rate-distortion (C-r-d) Techniquesmentioning

confidence: 99%

Complexity-Aware Adaptive Preprocessing Scheme for Region-of-Interest Spatial Scalable Video Coding

Grois

Hadar

2014

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

This paper presents a complexity-aware adaptive spatial preprocessing scheme for the efficient scalable video coding (SVC) by employing an adaptive prefilter for each SVC layer. According to the presented scheme, a dynamic transition region is defined between the region of interest (ROI) and background within each video frame, and then various parameters of each prefilter (such as the standard deviation, kernel matrix size, and also a number of filters for the dynamic preprocessing of a transition region between the ROI and the background) are adaptively varied. The presented scheme has proved to be very efficient because it is based on an SVC computational complexity-rate-distortion analysis, thereby adding a complexity dimension to the conventional SVC rate-distortion analysis. As a result, the encoding computational complexity resources are significantly reduced, which is especially useful for portable encoders with limited power resources. The performance of the presented adaptive spatial preprocessing scheme is evaluated and tested in detail from both computational complexity and visual presentation quality points of view, further comparing it with the joint scalable video model reference software (JSVM 9.19) and demonstrating significant improvements.Index Terms-High-quality visual presentation, image or video coding, preprocessing or prefiltering, regions of interest (ROI) video coding, ROI scalability, scalable video coding (SVC).

show abstract

Section: Complexity-rate-distortion (C-r-d) Techniquesmentioning

confidence: 99%

Complexity-Aware Adaptive Preprocessing Scheme for Region-of-Interest Spatial Scalable Video Coding

Grois

Hadar

2014

IEEE Trans. Circuits Syst. Video Technol.

View full text Add to dashboard Cite

show abstract

“…Traditional video encoding does not distinguish peers of different ability, thus it does not provide different services according to the ability of the peers. In Scalable Video Coding [1][2] [3], peers can obtain videos of different quality according to their network conditions and ensure that the video is fluent. Since SVC was developed as an extension of H.264/AVC with all of its excellent core coding tools being inherited, it supports types of scalability, including temporal scalability, spatial scalability and quality scalability [4].…”

Section: Introductionmentioning

confidence: 99%

“…H.264/SVC allocates different priority to the data blocks before transmission. The existing sorting algorithms include frame-based algorithm [5] and GOP (Group Of Picture) based algorithm [1] [5][6][7][8], among which the frame-based algorithm is of high complexity and good performance, while the GOP based algorithm is easy to implement.…”

Section: Introductionmentioning

confidence: 99%

A Data Block Priority Based Load Balancing Algorithm for P2P Streaming Media

Xiong²

2016

Modelling, Identification and Control / 834: Parallel and Distributed Computing and Networks / 835: Software Engineering

View full text Add to dashboard Cite

In order to improve the transmission of the streaming media over P2P network, we propose a Data-block Priority Based Load Balancing Algorithm (DPBA) for P2P Streaming Media. H.264/SVC achieves temporal scalability, spatial scalability and quality scalability. DPBA takes into account the quality layer and urgency degree of streaming media data block. The simulation result shows that DPBA can guarantee smooth playing of P2P streaming media. Meanwhile, it reduces the useless packet ratio and the playing interrupt times, thus the playing quality of the streaming media is stable.

show abstract

“…Therefore, the trade-off between the SVC coding efficiency and computational complexity (and especially, from the ROI point of view) requires much deeper research [5].…”

Section: Introductionmentioning

confidence: 99%

Complexity-aware adaptive bit-rate control with dynamic ROI pre-processing for scalable video coding

Grois

Hadar

2011

2011 IEEE International Conference on Multimedia and Expo

View full text Add to dashboard Cite

We present a novel efficient complexity-aware adaptive bitrate control with dynamic Region-of-Interest pre-processing (pre-filtering) for the Scalable Video Coding (SVC), which is an extension of H.264/AVC. According to the proposed approach, we adaptively vary various parameters of the SVC pre-filters, such as standard deviations and a number of filters for the dynamic pre-processing of a transition region between the ROI and background, thereby enabling to dynamically adjust the desired SVC settings. Our adaptive bit-rate control is based on an SVC computational complexity-rate-distortion (C-R-D) analysis, thereby adding a complexity dimension to the conventional Region-of-Interest SVC rate-distortion analysis. As a result, the ROI SVC visual presentation quality is significantly improved, which can be especially useful for various resource-limited devices, such as mobile devices. The performance of the presented adaptive ROI SVC preprocessing scheme is evaluated and tested in detail, further comparing it to the Joint Scalable Video Model reference software (JSVM 9.19) and demonstrating significant improvements both in quality and bit-rate.Index Terms -Regions-of-interest video coding, preprocessing/pre-filtering, bit-rate control, image/video coding, Regions-of-interest scalability, high-quality visual presentation, Scalable Video Coding, H.264/AVC.

show abstract

Performance analysis of the scalable video coding standard

Cited by 14 publications

References 11 publications

Complexity-Aware Adaptive Preprocessing Scheme for Region-of-Interest Spatial Scalable Video Coding

Complexity-Aware Adaptive Preprocessing Scheme for Region-of-Interest Spatial Scalable Video Coding

A Data Block Priority Based Load Balancing Algorithm for P2P Streaming Media

Complexity-aware adaptive bit-rate control with dynamic ROI pre-processing for scalable video coding

Contact Info

Product

Resources

About