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Li H.,Key Laboratory of Advanced Display and System Application | Li H.,Shanghai University | An P.,Key Laboratory of Advanced Display and System Application | An P.,Shanghai University | And 2 more authors.
Optical Engineering | Year: 2014

Three-dimensional (3-D) video brings people strong visual perspective experience, but also introduces large data and complexity processing problems. The depth estimation algorithm is especially complex and it is an obstacle for real-time system implementation. Meanwhile, high-resolution depth maps are necessary to provide a good image quality on autostereoscopic displays which deliver stereo content without the need for 3-D glasses. This paper presents a hardware implementation of a full high-definition (HD) depth estimation system that is capable of processing full HD resolution images with a maximum processing speed of 125 fps and a disparity search range of 240 pixels. The proposed field-programmable gate array (FPGA)-based architecture implements a fusion strategy matching algorithm for efficiency design. The system performs with high efficiency and stability by using a full pipeline design, multiresolution processing, synchronizers which avoid clock domain crossing problems, efficient memory managem ent, etc. The implementation can be included in the video systems for live 3-D television applications and can be used as an independent hardware module in low-power integrated applications. © The Authors.


Shi R.,Shanghai University | Liu Z.,Shanghai University | Liu Z.,Key Laboratory of Advanced Display and System Application | Xue Y.,Shanghai University
ISPACS 2010 - 2010 International Symposium on Intelligent Signal Processing and Communication Systems, Proceedings | Year: 2010

Salient object segmentation is an important technique for many content based applications. This paper presents an unsupervised salient object segmentation method under the graph cut optimization framework. First, we exploit a kernel density estimation based saliency model to generate the saliency map, which provides the useful cues for object segmentation. Then we exploit the saliency map to adaptively define the region cost term, the boundary cost term and their balancing weight in the cost function, which is minimized using graph cut to obtain a binary segmentation of salient objects. Experimental results on a variety of images demonstrate the better segmentation performance of our approach. © 2010 IEEE.


Fu Y.,Shanghai University | Fu Y.,Key Laboratory of Advanced Display and System Application | Wang Y.,Shanghai University | Wang Y.,Key Laboratory of Advanced Display and System Application | And 2 more authors.
ICALIP 2010 - 2010 International Conference on Audio, Language and Image Processing, Proceedings | Year: 2010

Image and video coding in block-based image coding can cause blocking artifacts, which severely degrade visual quality in the compressed sequences. Loop deblocking filter method can reduce these artifacts and improve the video objective and subjective quality obviously. In this paper, we propose an efficient deblocking filtering method for multiview video coding, which considers the color bleeding distortion. Experimental results show that this proposed algorithm outperforms the traditional deblocking algorithm in terms of PSNR and subjective visual quality when QP value is relatively high. ©2010 IEEE.


Du H.,Shanghai University | Liu Z.,Shanghai University | Liu Z.,Key Laboratory of Advanced Display and System Application | Xue Y.,Shanghai University | Shi R.,Shanghai University
IET Conference Publications | Year: 2011

Seam carving is a new image retargeting method, which can alleviate the distortion on the main content of the image compared to the traditional scaling method. However, the original seam carving method uses the gradient amplitudes of pixels to construct the energy map, but neglects the gradient directions of pixels. Actually, the gradient direction refers to the direction where the pixel has the maximum rate of change. We can use the gradient direction of pixels to construct the direction map, and then naturally generate multiple seams from top to bottom based on the direction map. In addition, we use the priority windows to avoid intersecting seams. Experimental results show that our method can accelerate the speed of seam carving about 98 times while maintaining the quality of the image retargeting result.


Xue Y.,Shanghai University | Shi R.,Key Laboratory of Advanced Display and System Application | Liu Z.,Shanghai University
Optical Engineering | Year: 2011

This paper proposes a novel saliency model using multiple region-based features. The original image is initially segmented into a set of regions using the mean shift algorithm, and region merging is performed to obtain a moderate segmentation result. Then, three types of regional saliency measures are calculated using region-based features including local/global color difference, orientation difference, and spatial distribution, and they are integrated into an overall regional saliency measure for each region. Finally, the pixel-wise saliency map is generated by combining regional saliency measures with the distance-weighted color similarity between each pixel and each region. Experimental results demonstrate that our saliency model achieves an overall better saliency detection performance than previous saliency models, and the saliency maps generated using our model are more suitable for content-based applications such as salient object detection, content-aware image retargeting, and object-based image retrieval. © 2011 Society of Photo-Optical Instrumentation Engineers (SPIE).


Wang Y.-F.,Key Laboratory of Advanced Display and System Application | Wang Y.-F.,Shanghai University | Yu S.-Y.,Shanghai JiaoTong University | Yang X.-K.,Shanghai JiaoTong University | And 2 more authors.
Journal of Shanghai University | Year: 2010

We present an unequal decoding power allocation (UDPA) approach for minimization of the receiver power consumption subject to a given quality of service (QoS), by exploiting data partitioning and turbo decoding. We assign unequal decoding power of forward error correction (FEC) to data partitions with different priority by jointly considering the source coding, channel coding and receiver power consumption. The proposed scheme is applied to H.264 video over additive white Gaussion noise (AWGN) channel, and achieves excellent tradeoff between video delivery quality and power consumption, and yields significant power saving compared with the conventional equal decoding power allocation (EDPA) approach in wireless video transmission. © 2010 Shanghai University and Springer Berlin Heidelberg.


Hu Y.-L.,Shanghai University | Hu Y.-L.,Key Laboratory of Advanced Display and System Application | Zhou C.,Key Laboratory of Advanced Display and System Application
Journal of Shanghai University | Year: 2010

In this paper, the design and verification process of an automobile-engine-fan control system on chip (SoC) are introduced. The SoC system, SHU-MV08, reuses four new intellectual property (IP) cores and the design flow is accomplished with 0.35 μm chartered CMOS technology. Some special functions of IP cores, the detailed integration scheme of four IP cores, and the verification method of the entire SoC are presented. To settle the verification problems brought by analog IP cores, NanoSim based chip-level mixed-signal verification method is introduced. The verification time is greatly reduced and the first tape-out achieves success which proves the validity of our design. © 2010 Shanghai University and Springer-Verlag Berlin Heidelberg.


Liao X.,Shanghai University | Ma R.,Shanghai University | Ma R.,Key Laboratory of Advanced Display and System Application | An P.,Shanghai University | And 3 more authors.
ICALIP 2010 - 2010 International Conference on Audio, Language and Image Processing, Proceedings | Year: 2010

A new scheme of layered coding of stereoscopic video based on the correlation of motion vector fields (MV fields) is proposed in this paper, in which the bit streams robustness is improved to error channel and the coding efficiency is not reduced evidently. In our proposed scheme, the stereoscopic video is classified into one base layer and two enhancement layers. First, left-view video is encoded as Base Layer to ensure the basic quality of two-dimensional video. Then, the disparity vectors(DVs) of right-view video are encoded as Enhancement Layer 1.To lower bit rates further and reduce the network load, the strong correlation of the motion vectors(MVs) for two views video sequence are tested. Based on the correlation of MVs between views, the MVs of right-view are transmitted as Enhancement Layer 2 only if the correlation between left and right view is less than some threshold. Experimental results are demonstrated to testify the efficiency of our proposed scheme. ©2010 IEEE.


Shi R.,Shanghai University | Liu Z.,Shanghai University | Liu Z.,Key Laboratory of Advanced Display and System Application | Du H.,Shanghai University | And 2 more authors.
IEEE Signal Processing Letters | Year: 2012

Salient object detection is an important technique for many content-based applications, but it becomes a challenging work when handling the cluttered saliency maps, which cannot completely highlight salient object regions and cannot suppress background regions. In this letter, we propose a novel approach to detect salient object from saliency map without manually setting any parameters. Region diversity maximization is used as the objective function to direct the object detection, and the optimal window for locating the salient object is obtained using an efficient iterative search scheme. Experimental results on different saliency maps demonstrate the overall better detection performance and computational efficiency of our approach. © 2012 IEEE.


Liu Z.,Shanghai University | Liu Z.,Key Laboratory of Advanced Display and System Application | Xue Y.,Shanghai University | Shen L.,Shanghai University | And 3 more authors.
Proceedings - International Conference on Image Processing, ICIP | Year: 2010

This paper proposes a nonparametric saliency model based on kernel density estimation (KDE) mainly aiming at content-based applications such as salient object segmentation. A set of KDE models are constructed on the basis of regions segmented using the mean shift algorithm. For each pixel, a set of color likelihood measures to all KDE models are calculated, and then the color saliency and spatial saliency of each KDE model are evaluated based on its color distinctiveness and spatial distribution. The final saliency map is generated by combining saliency measures of KDE models and color likelihood measures of pixels. Experimental results demonstrate the better saliency detection performance of our saliency model. © 2010 IEEE.

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