Challenges and Opportunities in Video Coding for 3D TV

Kalva, Hari; Christodoulou, Lakis; Mayron, Liam M.; Marques, Oge; Furht, Borko

doi:10.1109/icme.2006.262874

Cited by 29 publications

(13 citation statements)

References 6 publications

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“…Research on stereoscopic image and video processing has been the new trend. This has created a widespread interest in designing and standardizing technologies for production, storage, and viewer of 3DTV content [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Research on subjective stereoscopic image quality assessment

Wang

You

et al. 2009

SPIE Proceedings

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Research on stereoscopic image and video processing has been the new trend in the recent years. Measurement of visual quality is of fundamental importance for numerous stereoscopic image and video processing applications. The goal of quality assessment is to automatically assess the quality of images or videos in agreement with human quality judgments and optimize the stereoscopic image or video systems. Unfortunately, human are lack of the knowledge for the perception quality of stereoscopic images. In this paper, we present experimental results of an extensive subjective quality assessment experiment for stereoscopic images in which a total 400 distorted stereoscopic images were evaluated by about twenty human subjects. The stereoscopic images quality data obtained from 8,000 individual human quality judgments is used to build a database that can be exploited for understanding perception of stereoscopic images and provide data for objective assessment metrics designing. The experimental results indicated that the quality perception of the distorted stereoscopic images is content and distortion types dependent.

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Section: Introductionmentioning

confidence: 99%

Research on subjective stereoscopic image quality assessment

Wang

You

et al. 2009

SPIE Proceedings

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“…With the advance of multimedia and display technologies, three-dimensional television (3DTV) and free-viewpoint television (FTV) are emerging applications in the near future [1] [2]. Although such applications provide viewers a whole new viewing experience, the problem of their huge data size for storage and transmission has to be overcome.…”

Section: Introductionmentioning

confidence: 99%

A fast direction predictor of inter frame prediction for multi-view video coding

Lin

Tang

2009

2009 IEEE International Symposium on Circuits and Systems

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Multi-view applications provide viewers a whole new viewing experience, and multi-view video coding (MVC) plays a key role in distributing multi-view video contents through networks with limited bandwidth. However, the computational load of a MVC encoder is pretty heavy so that it is hard to be realized in real-time applications. One reason behind this is that a MVC encoder has to make a decision of prediction direction based on rate-distortion optimization from both motion compensation prediction (MCP) and disparity compensation prediction (DCP) for multiple views. Motivated by this, this paper presents a novel fast MVC algorithm where a fast decision strategy of prediction direction of MCP and DCP is designed. Blocks with slow motion (SMBs) of all pictures in the base view and anchor pictures in enhancement views are identified based on MVs from MCP without additionalcomputations. Then, the identification of SMBs in nonanchor frames of an enhancement view will be inferred from the SMBs of base view or the other coded enhancement views. Finally, the fast algorithm is achieved by applying MCP to SMBs of non-anchor pictures in enhancement views within the same GGOP. Experimental results conducted by JMVM 6.0 show that the average time reduction is 20% while the bitrate increase and PSNR loss are less than 0.25% and 0.0045 dB, respectively.

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“…There exist several stereoscopic compression methods. For more information, the reader can refer to Kalva et al [21] . Since we want our system to be used with mobile phones, the problem is a bit different.…”

Section: Compression and Image Transfermentioning

confidence: 99%

On-line free-viewpoint video: From single to multiple view rendering

Nozick

Saitō

2008

Int. J. Autom. Comput.

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Abstract:In recent years, many image-based rendering techniques have advanced from static to dynamic scenes and thus become video-based rendering (VBR) methods. But actually, only a few of them can render new views on-line. We present a new VBR system that creates new views of a live dynamic scene. This system provides high quality images and does not require any background subtraction. Our method follows a plane-sweep approach and reaches real-time rendering using consumer graphic hardware, graphics processing unit (GPU). Only one computer is used for both acquisition and rendering. The video stream acquisition is performed by at least 3 webcams. We propose an additional video stream management that extends the number of webcams to 10 or more. These considerations make our system low-cost and hence accessible for everyone. We also present an adaptation of our plane-sweep method to create simultaneously multiple views of the scene in real-time. Our system is especially designed for stereovision using autostereoscopic displays. The new views are computed from 4 webcams connected to a computer and are compressed in order to be transfered to a mobile phone. Using GPU programming, our method provides up to 16 images of the scene in real-time. The use of both GPU and CPU makes this method work on only one consumer grade computer.

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Challenges and Opportunities in Video Coding for 3D TV

Cited by 29 publications

References 6 publications

Research on subjective stereoscopic image quality assessment

Research on subjective stereoscopic image quality assessment

A fast direction predictor of inter frame prediction for multi-view video coding

On-line free-viewpoint video: From single to multiple view rendering

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