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3rd International Conference on Computing, Communication, Control and Automation (ICCUBEA)

作者： Ghuge, Aditi D. Rajani, P. K. Khaparde, Arti Pimpri Chinchawad Coll Engn Elect & Telecommun Pune Maharashtra India Maharashtra Inst Technol Elect & Telecommun Pune Maharashtra India

ISBN: (纸本)9781538640081

Video error concealment is an error hiding Technique. Recently there is need of Error Concealment in video applications. Video applications are widely used in many domains such internet videos, entertainment media such as TV and DVD, video conferencing, video surveillance etc. In this paper, Video Error Concealment is achieved by Moment Invariance using MATLAB. Error is detected using moment invariance and corrected by using block matching algorithm. In Moment Invariance method, error frame is divided into macroblocks of size 16*16 and that is compared with the macroblock of previous frame. Moment invariance algorithm is carried out in three steps. The first step is designation of candidate motion vector set. The second step is to adaptively determine the error in the current and reference frame for feature extraction. The last step is to find the error function calculation using Moment Invariance. The quality of the video is analyzed using Structural Similarity Index (SSIM) and Peak Signal to Noise Ratio (PSNR). Result indicates that quality is improved for different error videos.

关键词： Error concealment Moment Invariance block matching algorithm

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Grasp configuration matching - Using visual and tactile sensor information

Grasp configuration matching - Using visual and tactile sens...

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4th International Conference on Informatics in Control, Automation and Robotics

作者： Boudaba, Madjid Casals, Alicia TES Electon Solut GmbH Design Ctr Zettachring 8 D-70567 Stuttgart Germany Tech Univ Catalonia GRINS Res Grp Intelligent Robots & Syst Barcelona 08028 Spain

ISBN: (纸本)9789728865832

Finding the global shape of a grasped object directly from touch is time consuming and not highly reliable. This paper describes the relationship between visual features and grasp planning, and correlates visual and tactile information for a better description of the object's shape and grasping points determination. The grasping process proposed is experimented with a three fingered robotic hand.

关键词： visual image tactile image grasp planning block matching algorithm

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Interpolation-free subpixel refinement for block-based motion estimation

Interpolation-free subpixel refinement for block-based motio...

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Conference on Visual Communications and Image Processing 2004

作者： Chiew, TK Chung-How, JTH Bull, DR Canagarajah, CN Univ Bristol Bristol BS8 1UB Avon England

ISBN: (纸本)0819452114

This paper proposes a low-complexity sub-pixel refinement to motion estimation based on full-search block matching algorithm (BMA) at integer-pixel accuracy. This algorithm eliminates the need to produce interpolated reference frames, which is may be too memory- and processor-intensive, for some real-time mobile applications. The algorithm assumes the BMA is done at pixel resolution and the (sum-of-absolute-differences) SADs of the candidate motion vector and its neighbouring vectors are available for each block. The proposed method than models the SAD distribution around the candidate motion vector and its neighbouring points. Actual minimum point at sub-pixel resolution is then computed according to the model used. 3 variations of the parabolic model are considered and simulations using the H.263 standard encoder on several test sequences reveal an improvement of 1.0 dB over integeraccuracy motion estimation. Albeit its simplicity, some test cases come close to the results obtained by actual interpolated reference frames.

关键词： motion estimation sub-pixel block matching algorithm

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A Practical Method for Camera Calibration in Stereo Vision Mobile Robot Navigation

A Practical Method for Camera Calibration in Stereo Vision M...

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IEEE Student Conference on Research and Development (SCOReD)

作者： Hamzah, R. A. Abd Ghani, S. F. Kadmin, A. F. Aziz, K. A. A. UTeM Fac Engn Technol Melaka 76100 Malaysia

ISBN: (纸本)9781467351607;9781467351584

This paper presents a method of camera calibration of stereo pair for stereo vision application. The method is using Jean-Yves Bouguet tool which produces the intrinsic and extrinsic parameters of stereo pair. The data of calibration will be used in image rectification between two images. Then the rectified image will go through the block matching process. The block matching technique is briefly described with the performance of its output. The disparity mapping is generated by the algorithm with the reference to the left image coordinate. The algorithm uses Sum of Absolute Differences (SAD) which is developed using Matlab software.

关键词： Camera calibration disparity mapping stereo vision epipolar line block matching algorithm

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An Improved algorithm for the Estimation of Multibody Motion 1

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Symposium-B on Intelligent Embedded Systems / 1st International Conference on NextGen Electronic Technologies - Silicon to Software (ICNETS2)

作者： Raghavan, K. Prithiviraj, R. SRM Univ Dept Elect & Commun Chennai 603203 Tamil Nadu India

ISBN: (数字)9789811085758

ISBN: (纸本)9789811085758;9789811085741

The problem of estimating ego motion and eoru motions through a vehicle mounted with a camera is related in this paper. Localization of multiple moving objects and estimating their motion are crucial for autonomous vehicles, but it is not that much successful in estimating the motion of the moving vehicles and objects. Ego motion can be calculated only by conventional localization and mapping techniques. The framework for estimation of multiple motions in addition to the camera ego motion is presented. The video is processed through MATLAB for pre-processing. The video is then segmented into frames, and then the framework is done to estimate the multibody motion through different algorithms. The algorithms like block matching algorithms, corner detection, and background subtraction algorithm are used to estimate the multibody motions of the moving objects. From this, we can detect and estimate the motion and speed of the object in the frame. Then, it is processed in hardware (raspberry pi3) using the same algorithms, so that we can effectively use it in any autonomous cars.

关键词： MATLAB block matching algorithm Harris corner detection Background subtraction

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An efficient diamond search with large kite search patterns for fast block motion estimation

An efficient diamond search with large kite search patterns ...

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SICE-ICASE International Joint Conference

作者： Lee, Hwal-Suk Jung, Jik-Han Park, Dong-Jo Korea Adv Inst Sci & Technol Dept Elect Engn & Comp Sci 373-1 Guseong Dong Taejon 305701 South Korea

ISBN: (纸本)9788995003848

One of the well known block-matching motion estimation (BMME) algorithm is the diamond search (DS). Two improved versions of DS in terms of speed are known to be the cross-diamond search (CDS) and the cross-diamond-hexagonal search (CDHS). Based on these methods, our proposed algorithm employs a new scheme to find small motion vectors with the smallest checking points and proposes two novel search patterns designed to reduce checking points efficiently for large motion vectors. The speed improvement of the proposed algorithm can be up to 61% faster than the diamond search (DS) algorithm, 44% faster than the CDS, and 25% faster than the CDHS while providing similar prediction accuracies.

关键词： block matching algorithm motion estimation modified large diamond-shaped pattern

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Facial feature tracking by robust face sementation and scalable rotational BMA

Facial feature tracking by robust face sementation and scala...

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Conference on Visual Communications and Image Processing 2002

作者： Kim, JS Cho, NI Kee, SC Lee, SU Seoul Natl Univ Seoul South Korea

ISBN: (纸本)0819444111

We proposed an algorithm for the tracking of facial feature points based on the block matching algorithm (BMA) with a new shape of window considering the feature point characteristics and scale/angle changes of the face. The window used in the proposed algorithm is the set of pixels in the 8 radial lines of 0degrees, 45degrees, (...) from the feature point, i.e. the window has the shape of cross plus 45degrees rotated cross. This shape of window is shown to be more efficient than the conventional rectangular window in tracking the facial feature points, because the points and their neighbor are not usually the objects of rigid body. But since the feature points are usually on the edges of luminance or color changes, at least one of the radial line crosses the edge and it gives distinct measure for tracking the point. Also the radial line window requires less computational complexity than the rectangular window and more readily adjusted with respect to scale and angle changes. For the estimation of scale changes, the facial region is segmented at each frame using the normalized color, and the number of pixels in the facial region are compared.

关键词： feature tracking facial segmentation block matching algorithm

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Efficient Content-based Dynamic Search algorithm for Motion Estimation from Videos 3

Efficient Content-based Dynamic Search Algorithm for Motion ...

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3rd International Conference on Advances in Computing, Communications and Informatics (ICACCI)

作者： Dasari, Mallesham Sindhwal, Himanshu Vattikuti, Naresh UURMI Syst Pvt Ltd Hyderabad Andhra Pradesh India

ISBN: (纸本)9781479930807

The block matching algorithm (BMA) used for motion estimation (ME) during video coding in H.264 standard takes nearly 90% of total encoding time. The proposed work is based on analyzing the video content to dynamically choose an efficient search pattern. The algorithm based on the variance of motion in the video shows efficient results by reducing the number of candidate macro blocks that need to be searched in the reference frames using different types of search patterns and also recommends an optimized motion vector search range. The algorithm shows 90% improvement in computational time over the full search algorithm and a significant improvement over other fast block matching algorithms without compromising the bitrate and quality of the video.

关键词： Video coding Motion Estimation block matching algorithm Content Analysis

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An efficient VLSI architecture for full-search variable block size motion estimation in H.264/AVC

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13th International Multimedia Modeling Conference (MMM 2007)

作者： Pyen, Seung-Man Min, Kyeong-Yuk Chong, Jong-Wha Hanyang Univ Dept Elect Engn Seoul 133791 South Korea

ISBN: (纸本)9783540694281

In this paper, an efficient VLSI architecture of full-search variable block size motion estimation (VBSME) suitable for high quality video is proposed. Memory bandwidth in high-quality video is a mainly responsible for throughput limitations and power consumption in VBSME. The proposed architecture is designed for reducing the memory bandwidth by adopting "meander"-like scan for a high overlapped data of the search area and using on-chip memory to reuse the overlapped data. We can reuse the previous candidate block of 98% for the current one and save memory access cycles about 19% in a search range of [-32, +31]. The architecture has been prototyped in Verilog HDL and synthesized by Synopsys Design Compiler with Samsung 0.18um standard cell library. Under a clock frequency of 67MHz, The simulation result shows that the architecture can achieve the real-time processing of 720x576 picture size at 30fps with the search range of [-32-+31].

关键词： block matching algorithm motion estimation VLSI VBSME H.264/AVC

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Ant weight-lifting algorithm for motion estimation

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Iran Journal of Computer Science 2023年第3期6卷 207-219页

作者： Acharjee, Suvojit Chaudhuri, Sheli Sinha Department of ETCE Jadavpur University Kolkata 700032 India

Every video coding standard includes and requires motion estimation and compensation. The full search algorithm, which provides the best motion estimation, has a very high computation cost. Researchers have developed several algorithms to reduce the cost of computation. However, most of these algorithms become trapped in local minima during the search. Population-based evolutionary algorithms are widely used to develop a computationally efficient and cost-effective motion estimation strategy. The most recent effort used the Jaya algorithm to develop a motion estimation process that outperformed the state-of-the-art test zone search algorithm. In this study, a motion estimation algorithm based on the ant weight-lifting approach is proposed. Previously, the ant weight-lifting algorithm was used to solve a variety of problems, such as image segmentation, signal compression, and so on. The ant weight-lifting algorithm's computation cost was reduced by adopting a fitness estimation method that uses nearest-neighbor interpolation and an early termination strategy. Compared to Jaya algorithm-based motion estimation, the proposed algorithm executes up to 3% more quickly and exhibits up to 1.2 dB less distortion. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023.

关键词： Ant weight lifting block matching block matching algorithm Motion estimation VVC

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