End-to-end stereoscopic video streaming with content-adaptive rate and format control

Aksay, Anil; Pehlivan, Selen; Kurutepe, Engin; Bilen, Çağdaş; Özçelebi, Tanır; Akar, Gözde Bozdağı; Civanlar, M.R.; Tekalp, A.M.

doi:10.1016/j.image.2006.12.001

Cited by 29 publications

(8 citation statements)

References 20 publications

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“…Experiments were conducted using the standard data base such as images "lena", "Football","Lotus"and Cutebaby. The performance measures for analysis used is mainly Mean square Error (MSE), Peak Signal to Noise Ratio (PSNR), Compression Ratio and Image Quality [12]. Here MSE is the cumulative squared error between the compressed and the original image.…”

Section: Resultsmentioning

confidence: 99%

Novel Method of Image Compression using Angular Domain Concept to Achieve High Compression Rate

Pokle¹,

Bawane²

2014

IJCA

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Image compression plays vital role in the field of the corporate world, entertainment industry, multimedia, education communications and even at home. The main objective of Image compression is to minimize the size of image in bytes by reducing the redundancy of the image data without degrading the quality of image that results in the reduction of file size so that more images can be stored in a given amount of disk or memory space and also reduces the time required to send the images over the network. Inspired by the recent advancements in the image compression techniques, we proposed an image compression framework based on the pixel-wise fidelity. The proposed method is used to reduce the bit rate of the pixels of the image for the compression by using angular transformation. In the proposed algorithm we used the normalization technique and the inverse sine transformation to get the optimized and compressed image as an output. Finally the results are compared with different methods for MSE, PSNR and the visual appearance after decoding of image.

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Section: Resultsmentioning

confidence: 99%

Novel Method of Image Compression using Angular Domain Concept to Achieve High Compression Rate

Pokle¹,

Bawane²

2014

IJCA

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“…through spatial scaling or quantization). Given the same bitrate for stereo video, asymmetric coding provides better depth perception than symmetric coding when the quality of the auxiliary view is above a certain threshold [19]- [21]. However, there are still a lot of open questions, such as: Where is the upper bound of this asymmetry?…”

Section: A View Differencesmentioning

confidence: 99%

Stereoscopic image quality compendium

Min

2011

2011 8th International Conference on Information, Communications &Amp; Signal Processing

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Stereoscopic viewing of 3D content brings with it a variety of complex perceptual quality issues. For the percept of depth to be convincing, consistent, and comfortable, many parameters throughout the imaging pipeline must to be matched correctly. However, tradeoffs are inevitable for practical reasons, which may lead to various distortions. This paper reviews the issues from an engineering perspective, addressing in particular depth issues, multiview issues, display issues, viewer-specific issues, as well as possible measurements for the overall 3D quality of experience (QoE).

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“…However, this study does not employ a specific video quality metric and does not discuss the details of video encoding, rendering and adaptation. A more recent system employs a state-of-the-art H.264/AVC video codec and investigates the bit-rate savings achievable when encoding the left-and right-eye streams in different qualities or spatio-temporal resolutions 21 for stereoscopic streaming over a TFRC-based transport protocol. However, an extension to 3D multi-view video adaptation is not discussed.…”

Section: Related Workmentioning

confidence: 99%

Virtual view adaptation for 3D multiview video streaming

Petrović

Zinger

2010

SPIE Proceedings

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Virtual views in 3D-TV and multi-view video systems are reconstructed images of the scene generated synthetically from the original views. In this paper, we analyze the performance of streaming virtual views over IP-networks with a limited and time-varying available bandwidth. We show that the average video quality perceived by the user can be improved with an adaptive streaming strategy aiming at maximizing the average video quality. Our adaptive 3D multi-view streaming can provide a quality improvement of 2 dB on the average -over non-adaptive streaming. We demonstrate that an optimized virtual view adaptation algorithm needs to be view-dependent and achieve an improvement of up to 0.7 dB. We analyze our adaptation strategies under dynamic available bandwidth in the network.

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End-to-end stereoscopic video streaming with content-adaptive rate and format control

Cited by 29 publications

References 20 publications

Novel Method of Image Compression using Angular Domain Concept to Achieve High Compression Rate

Novel Method of Image Compression using Angular Domain Concept to Achieve High Compression Rate

Stereoscopic image quality compendium

Virtual view adaptation for 3D multiview video streaming

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