Motion estimation algorithm for images of vital signs monitors using Block Matching

被引:0
作者
Alvarez-Bossa, Rafael [1 ]
Natalia Florez-Ordonez, Yudy [2 ]
Andres Zabala-Vargas, Sergio [2 ]
Andres Becerra-Daza, Holguer [3 ]
Vargas Hernandez, Tito Raul [1 ]
机构
[1] Univ Santo Tomas, Syst Commun & Networking Master Degrees, Bucaramanga, Colombia
[2] Univ Santo Tomas, Fac Telecommun Engn, Bucaramanga, Colombia
[3] Univ British Columbia, Fac Biomed Engn, Vancouver, BC, Canada
来源
2019 XXII SYMPOSIUM ON IMAGE, SIGNAL PROCESSING AND ARTIFICIAL VISION (STSIVA) | 2019年
关键词
Block Matching; motion estimation; video compression; telemedicine;
D O I
10.1109/stsiva.2019.8730240
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
The present article describes the design of an algorithm that allows the motion estimation in images using the Block Matching strategy. The search criteria used to design the algorithm is called the sum of absolute differences (SAD). For research development, a VGA reference image of 640 x 480 pixels, divided into 8x8 macroblocks, is taken. The algorithm has been validated through different simulation scenarios. Among the main results are obtained processing times per frame of 18 ms (without parallelization) and 8.7 ms (with a first level of parallelization); what is useful for video compression systems for transmission. These times were obtained with images of telemedicine tests, particularly in the transmission of video on vital signs monitors.
引用
收藏
页数:4
相关论文
共 50 条
[31]   ADAPTIVE BLOCK MATCHING MOTION ESTIMATION ALGORITHM FOR VIDEO CODING [J].
FENG, J ;
LO, KT ;
MEHRPOUR, H ;
KARBOWIAK, AE .
ELECTRONICS LETTERS, 1995, 31 (18) :1542-1543
[32]   An efficient algorithm for fast block matching motion estimation using an adaptive threshold scheme [J].
Kerfa, Djoudi ;
Saidane, AbdelKader .
MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 79 (33-34) :24173-24184
[33]   An efficient algorithm for fast block matching motion estimation using an adaptive threshold scheme [J].
Djoudi Kerfa ;
AbdelKader Saidane .
Multimedia Tools and Applications, 2020, 79 :24173-24184
[34]   An Efficient Algorithm for Fast Block Matching Motion Estimation Using an Adaptive Threshold Scheme [J].
Kerfa, Djoudi ;
Saidane, Abdelkader .
REAL-TIME IMAGE PROCESSING AND DEEP LEARNING 2019, 2019, 10996
[35]   Simplified block matching criteria for motion estimation [J].
Yang, JF ;
Hao, SS ;
Lu, WY .
IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS, 2000, E83D (04) :922-930
[36]   ANALYSIS OF BLOCK MATCHING MOTION ESTIMATION ALGORITHMS [J].
Muralidhar, P. ;
Rao, C. B. Rama .
2013 FOURTH INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND NETWORKING TECHNOLOGIES (ICCCNT), 2013,
[37]   A fast block-matching motion estimation algorithm for H.264/AVC [J].
Zheng Lixin ;
Zou Xuecheng ;
Liu Weizhong .
2006 6TH INTERNATIONAL CONFERENCE ON ITS TELECOMMUNICATIONS PROCEEDINGS, 2006, :1289-+
[38]   AN EFFECTIVE SUCCESSIVE ELIMINATION ALGORITHM FOR FAST OPTIMAL BLOCK-MATCHING MOTION ESTIMATION [J].
Lee, Hwal-Suk ;
Jung, Jik-Han ;
Park, Dong-Jo .
2008 15TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-5, 2008, :1984-1987
[39]   An Improved Block-Matching Algorithm Based on Chaotic Sine-Cosine Algorithm for Motion Estimation [J].
Dash, Bodhisattva ;
Rup, Suvendu .
ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2018, PT III, 2018, 11141 :759-770
[40]   Block-matching algorithm based on differential evolution for motion estimation [J].
Cuevas, Erik ;
Zaldivar, Daniel ;
Perez-Cisneros, Marco ;
Oliva, Diego .
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2013, 26 (01) :488-498