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A parallel computing algorithm for H.264/AVC decoder

A parallel computing algorithm for H.264/AVC decoder

引用

1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Wei, Yung-Chiang Zhang, Rong-Xian Lin, Rong-San Dept. of Electronic Engineering Far East University Tainan Taiwan Dept. of Computer Science and Information Engineering Southern Taiwan University Tainan Taiwan

ISBN: (纸本)9780769545813

In multimedia applications, the advanced video coding standard H.264/AVC is very popular since it has a significant benefit as compared with older standards in compression performance. However, the high performance takes huge computation power as the unavoidable cost. To overcome the high computation complexity, multi-core processor with parallel computing is a new trend. This paper proposes a novel parallel computing algorithm exploiting the benefits of multi-core processor in order to reduce the time delay due to H.264/AVC decoder. The proposed method speeds up the decoding time apparently. © 2011 IEEE.

关键词： Parallel processing systems

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Design and implementation of the multi-touch tables

Design and implementation of the multi-touch tables

引用

1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Tseng, Chao-Hsuing Wei, Yung-Chiang Dept. of Computer and Communication Kun Shan University Tainan Taiwan Dept. of Electronic Engineering Far East University Tainan Taiwan

ISBN: (纸本)9780769545813

Multi-touch technique has gone deeply into the daily life of human beings due to the fast progress of high technique. This paper states the design and implementation of a smart multi-touch table. Considering the hardware construction, we use ultra short throw projector, IR (infrared) LED, IR camera and projection screen which are self-made. Rear projection is established with DI (Diffused Illumination) technique. Considering the software design, image processing skills are exploited to acquire the finger locations. To determine the finger positions, the hand recognition algorithm consists of single-finger, double-finger and multi-finger methods. There are 33 fingering patterns classified into 10 categories. © 2011 IEEE.

关键词： Software design

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Precise high speed multi-target multi-sensor local positioning system

Precise high speed multi-target multi-sensor local positioni...

引用

canadian conference on computer and robot vision

作者： Eichel, Justin A. Clausi, David A. Fieguth, Paul Vision and Image Processing Lab. University of Waterloo Waterloo Canada

ISBN: (纸本)9780769543628

When used for tracking, the combination of infrared (IR) and an internal measurement unit (IMU) allows researchers and industry to locate objects to within 1 cm at over 200 Hz with a latency less than 2 ms. This novel tracking system uses multiple cameras to triangulate an IR LED placed on the object and utilizes IMU data to measure the object's orientation and allow the system to be robust against visual occlusions. The cost-effective IR system is robust against illumination allowing the object to be tracked at over 50 feet from the camera positions. This distance is expected to increase with additional development. This paper describes the preliminary algorithms that utilize the information from both the IR and IMU systems in order to precisely track an object. The algorithms are tested against simulated data generated from profiling the hardware and real data collected from a system prototype. © 2011 IEEE.

关键词： Cost effectiveness

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Spatial-and-temporal-weighted structure from motion

Spatial-and-temporal-weighted structure from motion

引用

canadian conference on computer and robot vision

作者： Wang, Guanghui Zelek, John S. Wu, Q.M. Jonathan Department of Systems Design Engineering University of Waterloo Waterloo ON N2L 3G1 Canada Department of Electrical and Computer Engineering University of Windsor Windsor ON N9B 3P4 Canada

ISBN: (纸本)9780769543628

The paper focuses on the problem of structure from motion and proposes a spatial-and-temporal-weighted factorization algorithm. The contributions of the paper are as follows: First, it is demonstrated that the image reprojection error is generally in proportion to the error magnitude contained in the image. Second, the error distribution contained in the measurement matrix is modelled spatially and temporally from the image reprojection residuals. Third, based on the estimated error distribution, a spatial-and-temporal-weighted factorization algorithm is proposed to handle the uncertainty caused by significant image noises. Compared with existing approaches, the proposed technique does not require a prior information of image measurement, and it is easy to implement. Extensive experiments on synthetic data and real images are performed to validate the proposed method. © 2011 IEEE.

关键词： Factorization

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Human visual system based framework for concealed weapon detection

Human visual system based framework for concealed weapon det...

引用

canadian conference on computer and robot vision

作者： Bhatnagar, Gaurav Wu, Q.M. Jonathan Department of Electrical and Computer Engineering University of Windsor Windsor ON N9C 1M2 Canada

ISBN: (纸本)9780769543628

In this paper, an efficient concealed weapon detection algorithm is proposed which uses the characteristics of human visual system in frame let domain. The main idea is to decompose the visual and IR/MMW images to be fused into low and high frequency bands using frame let transform. The fusion is performed by two different strategies while exploiting the characteristics of low and high frequency bands. The first strategy is adaptive weighted average based on local energy and is applied to fuse the low-frequency bands. In order to fuse high frequency bands, a new strategy is developed based on texture while exploiting the human visual system characteristics, which can preserve more details from source images and further improve the quality of detected weapons in the fused image. Experimental results demonstrate the efficiency and robustness of the proposed concealed weapon detection algorithm in visual inspection and objective evaluation criteria. © 2011 IEEE.

关键词： Image fusion

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Mobile robot exploration via pseudo range model

Mobile robot exploration via pseudo range model

引用

International Association for computer and Information Science/JNU International conference on computers, Networks, Systems and Industrial Engineering

作者： Kim, Ryun Seok Choi, Hyukdoo Kim, Euntai Park, Chang-Woo Computational Intelligence Lab. Yonsei university Seoul Korea Republic of Korea Electronics Technology Institute Bucheon-siGyeonggi-do Korea Republic of

ISBN: (纸本)9780769544175

This paper presents an autonomous exploration system using a robot equipped with a vision sensor but no range sensor. The fully automatic exploration system operating on a mobile robot determines the next motion in the environment. We extract ceiling boundaries from images. Then we use the pseudo range model that converts the ceiling boundary to range information. This paper proposes the vision based exploration system and presents experimental results. © 2011 IEEE.

关键词： Ceilings

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Range estimation for robot arm applications using image segmentation and curve fitting tool

Range estimation for robot arm applications using image segm...

引用

1st International conference on Electrical, Control and computer Engineering 2011, InECCE 2011

作者： Kheng, Eng Swee Abu Hassan, Anwar Hasni Ranjbaran, Ali Siong, Ting Shyue School of Electrical and Electronic Engineering Universiti Sains Malaysia Engineering Campus 14300 Nibong Tebal Seberang Perai Selatan Pulau Pinang Malaysia

ISBN: (纸本)9781612842288

The three dimensional information about the environment is essential for robot movement and object inspection in robotic applications. One method of obtaining depth information is by using a stereo vision system. In this paper, a pair of camera is used as stereo vision module to find the depth of the object. The stereo matching algorithm that involved image segmentation, centroid computation and disparity mapping have been discuss in this paper. The image segmentation is performed by using edge detection and basic morphology, while the disparity is obtained by finding the centroid coordinates of two images. The curve fitting tool is used for range estimation. The images of the object have been well segmented and the 3D coordinates of the object were obtained for the robot arm applications. © 2011 IEEE.

关键词： Image segmentation

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Block polarity and AC correlation-based robust video watermarking for H.264/AVC

Block polarity and AC correlation-based robust video waterma...

引用

1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Hu, Wu-Chih Yang, Ching-Yu Huang, Deng-Yuan Liao, Seung-Yuan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan Department of Electrical Engineering Dayeh University Changhua Taiwan

ISBN: (纸本)9780769545813

This paper proposes a robust video watermarking for H.264/AVC using block polarity and AC correlation schemes. In the proposed method, the intra frames are used for watermarking embedding and protection. Block polarity is obtained using the nonzero quantized DC coefficienth 4 × 4 integer DCT block. Then, the selective block polarity of DCT block is used to perform the Intra prediction modes for 4 × 4 luminance block. AC correlation is obtained by adjusting the relative between the AC coefficients of these DCT blocks. Finally, one watermark bit is embedded into each processed DCT block. Experimental results show that the proposed method is robust to the attacks of cropping, noise addition, brightness, wind effect, and cloud effect. © 2011 IEEE.

关键词： Luminance

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Bloodstain segmentation in color images

Bloodstain segmentation in color images

引用

1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Wang, Ying-Wei Huang, Deng-Yuan Hu, Wu-Chih Ho, Chun-Ying Department of Marketing and Logistics Management National Penghu University of Science and Technology Penghu Taiwan Department of Electrical Engineering Dayeh University Changhua Taiwan Department of Computer Science and Information Engineering National Penghu University of Science and Technology Penghu Taiwan

ISBN: (纸本)9780769545813

The identification of bloodstains in color images is critical in some accident investigation cases. A suspected bloodstain segmentation method was proposed in this study. The algorithm transforms the RGB to the YC gCr color space after the image undergoes color histogram equalization. Determination of the decision thresholds (Cg, C r) is based on the color distribution of the sample images in C g-Cr plane. To accelerate bloodstain pixel detection, the transformed thresholds are used (Cg, Cr). After the bloodstain pixels are detected the fast 8-connected component labeling method is to formulate the clusters. The algorithm was tested by using the 75 images from accident scenes. The results show that su spected bloodstains can be detected successfully, and thus that this approach can be used as the basis for bloodstain identification in color images. © 2011 IEEE.

关键词： Pixels

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New sorting technique on partial distortion search using two bit-transform for fast optimal motion estimation

New sorting technique on partial distortion search using two...

引用

1st International conference on robot, vision and Signal Processing, RVSP 2011

作者： Chen, Hung-Ming Chen, Po-Hung Ciou, Jian-Hong Department of Computer Science and Information Engineering National Taichung Institute of Technology No. 129 San-mind Road Taichung 404 Taiwan Department of Electronic Engineering National Formosa University No.64 Wunhua Rd. Huwei Township Yunlin County 632 Taiwan

ISBN: (纸本)9780769545813

This paper proposes a novel two bit-transform sorting technique to get a better matching order on the lossless partial distortion search (PDS) algorithm. By sorting the level difference sets calculated from the approximate distortion between the two-bit transformed reference block and candidate block, the matching order can be computed to apply to the typical PDS. To reduce the checked pixels further, the initial minimum sum of absolute difference (SAD) is derived from the cardinality of the level difference sets among candidate blocks. The experimental results indicate the proposed algorithm reduces computational complexity by about 27% on average compared with the typical PDS in terms of the average number of the checked pixels for night benchmark sequences. © 2011 IEEE.

关键词： Motion estimation

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