Recent trends in online mutimedia education for heterogeneous end-user devices based on Scalable Video Coding

Grois, Dan; Hadar, Ofer

doi:10.1109/educon.2013.6530252

Cited by 6 publications

(3 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the main purposes of the SVC-based systems is to enable encoding of a high-quality video bitstream that contains one or more subset bitstreams [3,5]. Each of such subset bitstreams can be transmitted and decoded to provide video services with varying spatial resolutions (e.g., QCIF, CIF, 4CIF/SD, 720 p, 1080 p), temporal resolutions (e.g., 15 Hz, 30 Hz), fidelity (SNR/quality) resolutions, or any combination thereof, as schematically presented in Figure 1.…”

Section: Scalable Video Coding Extension Of the H264/mpeg-4 Avc Stanmentioning

confidence: 99%

Efficient Region-of-Interest Scalable Video Coding with Adaptive Bit-Rate Control

Grois

Hadar

2013

Advances in Multimedia

View full text Add to dashboard Cite

This work relates to the regions-of-interest (ROI) coding that is a desirable feature in future applications based on the scalable video coding, which is an extension of the H.264/MPEG-4 AVC standard. Due to the dramatic technological progress, there is a plurality of heterogeneous devices, which can be used for viewing a variety of video content. Devices such as smartphones and tablets are mostly resource-limited devices, which make it difficult to display high-quality content. Usually, the displayed video content contains one or more ROI(s), which should be adaptively selected from the preencoded scalable video bitstream. Thus, an efficient scalable ROI video coding scheme is proposed in this work, thereby enabling the extraction of the desired regions-of-interest and the adaptive setting of the desirable ROI location, size, and resolution. In addition, an adaptive bit-rate control is provided for the region-of-interest scalable video coding. The performance of the presented techniques is demonstrated and compared with the joint scalable video model reference software (JSVM 9.19), thereby showing significant bit-rate savings as a tradeoff for the relatively low PSNR degradation.

show abstract

Section: Scalable Video Coding Extension Of the H264/mpeg-4 Avc Stanmentioning

confidence: 99%

Efficient Region-of-Interest Scalable Video Coding with Adaptive Bit-Rate Control

Grois

Hadar

2013

Advances in Multimedia

View full text Add to dashboard Cite

show abstract

“…However, they have not addressed the issues of node churns and heterogeneous bandwidth requirements [17]. The works in [18,19] study the scalable video services for different classes of devices, but have not studied the optimization of the forest structure. We formulate the construction of multiple trees as an optimization problem, and our proposed algorithms lead to a highly optimized overlay.…”

Section: Related Workmentioning

confidence: 99%

Overlay live video streaming with heterogeneous bitrate requirements

2014

View full text Add to dashboard Cite

“…The ROI is a desirable feature in many future video coding applications, for which the users who have low-resolution displays (such as smartphone device users) may require extracting particular ROIs and tracking them smoothly [11], [12]. At the same time, other users having high-resolution displays may wish to extract other ROIs to receive a higher video stream resolution (e.g., in the online multimedia educational applications [13]). Thus, to fulfill these requirements, it would be beneficial to simultaneously transmit or store a video stream also in a variety of ROIs.…”

Section: Introductionmentioning

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

Recent trends in online mutimedia education for heterogeneous end-user devices based on Scalable Video Coding

Cited by 6 publications

References 27 publications

Efficient Region-of-Interest Scalable Video Coding with Adaptive Bit-Rate Control

Efficient Region-of-Interest Scalable Video Coding with Adaptive Bit-Rate Control

Overlay live video streaming with heterogeneous bitrate requirements

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

Contact Info

Product

Resources

About