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Quality improvement of motion-compensated frame interpolation by self-similarity based context feature

MULTIMEDIA TOOLS AND APPLICATIONS 2022年第17期81卷 24301-24318页

作者： Li, Ran Hao, Peinan Sun, Fengyuan Li, Yanling You, Lei Xinyang Normal Univ Sch Comp & Informat Technol Xinyang 464000 Peoples R China Guilin Univ Elect Technol Guangxi Key Lab Wireless Wideband Commun & Signal Guilin 541004 Peoples R China

block matching algorithm (BMA) is the core of Motion-Compensated Frame Interpolation (MCFI), and its accuracy greatly affects the interpolation quality of MCFI. To improve BMA accuracy, this paper proposes the use of a self-similarity based context feature to improve the matching accuracy of BMA. First, we extract the patch centered at any pixel in a block, and perform the self-similarity descriptor to generate its correlation surface. Second, the correlation surface is statistically measured to represent the context feature, and the context cube of a block is produced by attaching the corresponding context feature to each pixel. Finally, we fuse the context cube into bidirectional matching criterion of BMA to get the motion vector field of the absent frame, and predict the absent frame by using motion compensation interpolation. Experimental results show that the proposed algorithm improves the BMA accuracy with a low computational complexity, and is better than the traditional MCFI algorithms in terms of both objective and subjective quality of the interpolated frames.

关键词： Motion-compensated frame interpolation Self-similarity Context cube block matching algorithm Bidirectional motion estimation

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Nature inspired algorithms (NIA) for efficient video compression - A brief study

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ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH 2020年第3期23卷 507-526页

作者： Choudhury, Hussain Ahmed Sinha, Nidul Saikia, Monjul Natl Inst Technol Dept Comp Sci & Engn Silchar 788010 Assam India Natl Inst Technol Dept Elect Engn Silchar 788010 Assam India NERIST Dept Comp Sc & Engn Nirjuli Arunachal Prade India

Motion Estimation in a video is a challenging optimization problem where the objective is to minimize the error or to maximize the correlation between a Macro block (MB) in current frame and MB in the reference frame and to find the best matching MB. As the pace of development of conventional Pattern-Based block matching algorithms was very fast and also so many in numbers that it almost got saturated. But at the same time rapid development of new algorithms based on natural genetics to exploit intelligence such as genetic algorithms, evolutionary algorithm, particle swarm optimization and differential evolution show the potential of these algorithms in optimization and gave researchers a broad dimension to apply such nature inspired algorithms in the field of motion estimation. Subsequently, researchers started implementing one by one many nature-inspired algorithms, sometimes referred to as soft computing techniques, for solving the optimization problem of motion estimation and proved that soft computing techniques have huge advantages over the conventional pattern-based or prediction based block matching algorithms. In this paper, several nature-inspired algorithms that are implemented for video motion estimation are reviewed and the performance is compared to highlight the competitive advantages of soft computing techniques over existing fixed pattern search algorithms. (C) 2019 Karabuk University. Publishing services by Elsevier B.V.

关键词： Video compression block matching algorithm Motion estimation Nature-inspired algorithms Genetic algorithms

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A Low Cost matching Motion Estimation Sensor Based on the NIOS II Microprocessor

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SENSORS 2012年第10期12卷 13126-13149页

作者： Gonzalez, Diego Botella, Guillermo Meyer-Baese, Uwe Garcia, Carlos Sanz, Concepcion Prieto-Matias, Manuel Tirado, Francisco Univ Complutense Madrid Dept Comp Architecture & Automat E-28040 Madrid Spain FAMU FSU Coll Engn Dept Elect & Comp Engn Tallahassee FL 32310 USA

This work presents the implementation of a matching-based motion estimation sensor on a Field Programmable Gate Array (FPGA) and NIOS II microprocessor applying a C to Hardware (C2H) acceleration paradigm. The design, which involves several matching algorithms, is mapped using Very Large Scale Integration (VLSI) technology. These algorithms, as well as the hardware implementation, are presented here together with an extensive analysis of the resources needed and the throughput obtained. The developed low-cost system is practical for real-time throughput and reduced power consumption and is useful in robotic applications, such as tracking, navigation using an unmanned vehicle, or as part of a more complex system.

关键词： computer vision optical flow block matching algorithm NIOS II very large scale integration (VLSI) FPGA embedded systems

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Multi-level, multi-step motion estimation algorithm

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IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS 2001年第6期E84D卷 760-762页

作者： Shin, DS Kwak, NJ Kwon, HB Ahn, JH Chungbuk Natl Univ Sch Elect & Elect Engn Dept Comp & Commun Engn Visual Commun Lab Chonju 361763 Chungbuk South Korea Gimpo Coll Dept Informat & Commun Engn Kimpo 415870 Kyounggi South Korea

In this paper, we propose a multi-level block matching algorithm using motion information in blocks. In the proposed algorithm, the block-level is decided by the motion degree in the block before motion searching procedure, and then adequate motion searching performs according to the block-level. Which improves computational efficiency by eliminating an unnecessary searching process in no motion or low motion regions, and brings more accurate estimation results by deepening motion searching process in high motion regions. Simulation results show that the proposed algorithm brings the lower estimation error about 20% MSE reduction - with the fewer blocks per frame and the lower computational loading - about 98% operational amount reduction - than full search block matching algorithm with constant block size.

关键词： motion estimation block matching algorithm motion vector video coding

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Motion Segmentation algorithm using Spectral Framework

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DEFENCE SCIENCE JOURNAL 2010年第1期60卷 39-47页

作者： Vrinthavani, R. Kaimal, M. R. DRDO Ctr Airborne Syst Hyderabad Andhra Pradesh India Amrita Vishwa Vidyapeetham Univ Kollam Kerala India

This paper presents a new motion segmentation method using iterative maximum likelihood framework. The method consists of two steps. In the first step, motion regions are detected and motion vectors are computed for these detected regions. In the second step, a similarity matrix is Computed from the motion vectors and motion segmentation is done using maximum likelihood method. The method has been tested using real world motion sequences and is found to give very low error rate and it also detects the slow moving objects.

关键词： Spectral framework motion segmentation motion vectors BMA block matching algorithm

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TOWARD AN OPTIMAL block MOTION ESTIMATION algorithm FOR H. 264/AVC

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INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS 2007年第2期7卷 303-320页

作者： Ben Ayed, Mohamed Ali Samet, Amine Masmoudi, Nouri Univ Sfax High Inst Elect & Commun BP 868 Sfax 3018 Tunisia Univ Sfax Natl Sch Engn Sfax 3038 Tunisia

A merging procedure joining search pattern and variable block size motion estimation for H.264/AVC is proposed in this paper. The principal purpose of the proposed methods is the reduction of the computational complexity for block matching module. In fact, there are numerous contributions in the literature aiming the reduction of the computational cost needed for motion estimation. The best solution from a qualitative point of view is the full search that considers every possible detail. The computational effort required is enormous and this makes motion estimation by far the most important computational bottleneck in video coding systems. Our approach invests and exploits the center-biased characteristics of the real world video sequences, aiming to achieve an acceptable image quality while independently targeting the reduction of the computational complexity. The simulations results demonstrated that the proposal performs well.

关键词： H.264/AVC block matching algorithm pattern search variable block size complexity rate distortion

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Phase-based frame interpolation method for videos with high accuracy using odd frames

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INTERNATIONAL JOURNAL OF BIOMEDICAL ENGINEERING AND TECHNOLOGY 2020年第3期33卷 199-210页

作者： Amutha, S. Vinsley, S. S. Loyola Inst Technol & Sci Dept CSE Thovalai Tamil Nadu India Lourdes Mt Coll Engn & Technol Dept ECE Mullankinavilai Tamil Nadu India

In this venture, an imaginative unpredictability movement that has low vector preparing calculation toward the end side is proposed for movement repaid video vector frame interpolation. By handling this calculation, we typically demonstrates the issues of broken edges and disfigured structures in an inserted frame by progressively refining movement vectors on various square sizes. In the proposed strategy, the info has been taken as video rather than pictures in the current framework and the recuperation yield is taken as pictures and further process has been experienced to get the yield as video. There are some extraordinary systems in this strategy, for example, stage-based interpolation method, multistage movement repaid interpolation, and so forth is usually used to get high reason picture with diminished haze in the pictures to get the unmistakable picture of the information videos. Exploratory outcomes will demonstrate the visual quality, toughness in the video groupings containing quick moving video.

关键词： motion compensated frame interpolation MCFI block matching algorithm BMA phase-based interpolation steerable pyramid blending technique odd frames optical stream motion vectors MV frame rate up transformation technique

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Fast full search algorithm using adaptive matching scan based on gradient magnitude

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IEICE TRANSACTIONS ON COMMUNICATIONS 2001年第3期E84B卷 694-697页

作者： Kim, JN Choi, TS KJIST Dept Mechatron Puk Gu Kwangju 500712 South Korea

To reduce an amount of computation of full search algorithm for fast motion estimation, we propose a new and fast matching algorithm without any degradation of predicted images. The computational reduction without any degradation comes from adaptive matching scan algorithm according to the image complexity of the reference block in current frame. Experimentally, ae significantly reduce the computational load compared with conventional full search algorithm.

关键词： motion estimation block matching algorithm fast full search adaptive matching scan partial distortion elimination

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Motion vector correction based on the pattern-like image analysis

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IEEE TRANSACTIONS ON CONSUMER ELECTRONICS 2003年第3期49卷 479-484页

作者： Lee, SH Kwon, O Park, RH Samsung Elect Co Ltd DTV R&D Grp Visual Display Div Digital Media Network Business Suwon South Korea Sogang Univ Dept Elect Engn Seoul South Korea

In this paper, we propose a motion vector correction algorithm to correct the erroneous motion vectors due to the failure of conventional motion estimation (ME) based on block matching algorithm (BM,4). The proposed method is based on the pattern-like image analysis that consists of the periodic pattern detection and calculation of motion parameters for the motion vector correction. In addition, the proposed method corrects effectively the erroneous motion vectors using the relations between the periodic pattern and local/global minima depending on whether the periodic pattern is static or moving. Also, it does not significantly increase computational complexity since it uses the estimated motion vectors and the integral projection of the sum of absolute difference (SAD) previously obtained from the conventional ME. Experimental results indicate good performance of the proposed scheme with significant reduction the erroneous motion vectors.

关键词： block matching algorithm motion estimation motion vector correction pattern-like image analysis

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A fast full search motion estimation algorithm using sequential rejection of candidates from multilevel decision boundary

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IEICE TRANSACTIONS ON COMMUNICATIONS 2002年第1期E85B卷 355-358页

作者： Kim, JM Ahn, BH KBS Tech Res Inst Yongdeungpo Gu Seoul 150790 South Korea K JIST Dept Mechatron Puk Gu Kwangju 500712 South Korea

We propose a new and fast full search (FS) motion estimation algorithm for video coding. The computational reduction comes from sequential rejection of impossible candidates with derived formula and subblock norms. Ou... 详细信息

关键词： motion estimation block matching algorithm fast full search partial norms decision boundary

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