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Robust Spatial Matching for Object Retrieval and Its Parallel Implementation on GPU
2011
IEEE transactions on multimedia
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To address this problem, we propose a novel spatial matching method that is robust to viewpoint changes and implement it on modern graphics processing unit (GPU) in parallel for real-time applications. ...
Spatial matching for object retrieval is often time-consuming and susceptible to viewpoint changes. ...
Zhuang, and Z. Mao for helpful suggestions and works in this research. ...
doi:10.1109/tmm.2011.2165053
fatcat:cfiunx2lqfhblnfgzxhh5gyrxu
Accelerating CBIR System using Graphics Processing Unit in OPEN CV Environment
2015
International Journal of Computer Applications
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The objectives of the published work is to develop a Content Based Image Retrieval system and test it on benchmark WANG database using suitable and efficient techniques so as to achieve efficient results ...
Finally on comparing the execution times of serial implementation and parallel implementation a considerable speed up of 15 % on an average was obtained. ...
At last it used the GPU for parallel implementation of feature extraction and CPU for implementing the retrieval of similar images. ...
doi:10.5120/ijca2015906124
fatcat:zm27axqjvnh43otakj5rncevsi
Parallel Implementation of Color Based Image Retrieval Using CUDA on the GPU
2013
International Journal of Information Technology and Computer Science
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In this paper we implement color based image retrieval system in parallel using Compute Unified Device Architecture (CUDA) programming model to run on GPU. ...
Experimental results showed that parallel implementation led to an average speed up of 6.305×over the serial implementation when running on a NVIDIA GPU GeForce 610M. ...
To make faster the method, we parallelized it on CUDA and achieved an average speed up of 6.305×(approx) over the serial implementation when running on a GPU. ...
doi:10.5815/ijitcs.2014.01.04
fatcat:pj4vrlbprbdhzbummd5a4pmpwi
Parallel Implementation of Texture Based Image Retrieval on The GPU
2013
International Journal of Image Graphics and Signal Processing
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In this paper we implement texture based image retrieval system in parallel using Co mpute Unified Device Architecture (CUDA) programming model to run on GPU. ...
The average Precision and the average Recall of presented method are 39.67% and 55.00% respectively. Index Terms-Texture based image retrieval, Entropy, CUDA, GPU I. ...
To make faster the method, we parallelized it on CUDA and ach ieved an average speed up of 140.046×(appro x) over the serial implementation when running on a GPU. ...
doi:10.5815/ijigsp.2013.09.06
fatcat:ikkoko54h5akrodcjug6tfana4
Parallel ptychographic reconstruction
2014
Optics Express
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Here we present a parallel method for real-time ptychographic phase retrieval. ...
It uses a hybrid parallel strategy to divide the computation between multiple graphics processing units (GPUs) and then employs novel techniques to merge sub-datasets into a single complex phase and amplitude ...
Government retains for itself, and others acting on its behalf, a paid-up nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public ...
doi:10.1364/oe.22.032082
pmid:25607174
pmcid:PMC4317139
fatcat:nkm4znhipjhvnpqrxetkjle6yy
Efficient Position Estimation Basedon GPU-Accelerated Content-basedImage Retrieval
2018
Journal of Mobile Multimedia
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Video google: A text retrieval
approach to object matching in videos. ...
Kusamura et al.
function is not in library for GPU, we implemented it by slightly modifying
an existing reduce implementation. ...
doi:10.13052/jmm1550-4646.1423
fatcat:ndlqdt7mxvdvxc7ykikxc4yhpq
Mining Massive-Scale Spatiotemporal Trajectories in Parallel: A Survey
[chapter]
2015
Lecture Notes in Computer Science
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In this paper, we present a comprehensive survey of the state-of-the-art techniques for mining massive-scale spatiotemporal trajectory data based on parallel computing platforms such as Graphics Processing ...
Unit (GPU), MapReduce and Field Programmable Gate Array (FPGA). ...
[26, 25] presented FPGA-and GPU-based solutions for parallel matching of variable-enhanced complex patterns by stream-mode (single pass) filtering. ...
doi:10.1007/978-3-319-25660-3_4
fatcat:qdkslwlgjzesdfnzvkbrpsgmti
Fast Audio Fingerprinting System using GPU and a Clustering-Based Technique
2016
IJARCCE
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However, for a large database, this search is time consuming. To reduce the search time, we accelerate this similarity search by using a graphics processing unit (GPU). ...
The best match is based on this count. The salient regions fingerprints together with this nearest neighbor search give excellent copy detection results. ...
Fingerprints extract the characteristics of the audio recording in robust and concise format II. OBJECTIVE 1. To propose a fast and robust audio fingerprinting system using parallel computing. 2. ...
doi:10.17148/ijarcce.2016.51269
fatcat:24sxrycd5bh3bbqvmuqruu4teu
GPU-Based PostgreSQL Extensions for Scalable High-Throughput Pattern Matching
2014
2014 22nd International Conference on Pattern Recognition
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We present timing characteristics for various pattern sizes and metric combinations, as well as address the balancing of database and GPU parameterization. ...
This framework was specifically designed to support pattern matching on GPU from within the database environment. ...
For instance, if Objects have associated spatial attributes, PostGIS extensions and spatial indexing could be utilized to filter the pattern stream. ...
doi:10.1109/icpr.2014.329
dblp:conf/icpr/ScottEMFA14
fatcat:ku2jp5knznd2rhdurhof2ft2gu
A GPU Based High-efficient and Accurate Optimal Pose Alignment Approach of 3D Objects
[article]
2011
Eurographics Workshop on 3D Object Retrieval, EG 3DOR
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be entirely implemented on the GPU. ...
In this paper we present a new method for alignment of 3D objects. This approach is based on the exhaustive optimization search in the 3D space using GPU based genetic algorithm. ...
Acknowledgement This work was partially supported by Shanghai grant of key breakthrough of science and technology(No.08511501001). ...
doi:10.2312/3dor/3dor11/097-100
fatcat:2luhk4wakjdrzcygm7yzn6hwsu
Spatial Pyramid Context-Aware Moving Object Detection and Tracking for Full Motion Video and Wide Aerial Motion Imagery
[article]
2017
arXiv
pre-print
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A robust and fast automatic moving object detection and tracking system is essential to characterize target object and extract spatial and temporal information for different functionalities including video ...
Different techniques are explored to efficiently compute integral histogram on GPU architecture and applied for fast spatio-temporal median computations and 3D face reconstruction texturing. ...
As it can be seen, using spatially weighted local histograms generates more robust matching results. ...
arXiv:1711.01656v1
fatcat:w5okzgmz5ng5thxwq2p7dvwl6a
Fast MPEG-CDVS Encoder With GPU-CPU Hybrid Computing
2018
IEEE Transactions on Image Processing
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2017 pre-print arXiv:1705.09776v1 fatcat:klvpzvzdlffrlgekq6wxklh7f4Other Versions
The compact descriptors for visual search (CDVS) standard from ISO/IEC moving pictures experts group (MPEG) has succeeded in enabling the interoperability for efficient and effective image retrieval by ...
We elegantly shift the computation-intensive and parallel-friendly modules to the state-of-the-arts GPU platforms, in which the thread block allocation and the memory access are jointly optimized to eliminate ...
) while maintaining the competitive performance for image retrieval and matching. ...
doi:10.1109/tip.2018.2794203
pmid:29432101
fatcat:2dr3sc66djcwnofwht6be2n7zm
Sparse Representation Based Multi Object Tracking using GPU
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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Furthermore, towards reducing the computational overhead, proposed model is implemented on a graphical processing unit enhanced with the multi threaded resource for parallelization of the task. ...
In order to classify the object, sparse based Orthogonal matching pursuit(OMP) algorithm is used. ...
Followed to it, In the 2nd stage using the GPU and parallel method, proposed approach is implemented.
III. ...
doi:10.35940/ijitee.b1055.1292s19
fatcat:ijwn5hcfzbfnja5ldhwsqcgkw4
An Accelerated Hierarchical Approach for Object Shape Extraction and Recognition
2019
2019 2nd International Conference on Data Intelligence and Security (ICDIS)
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The implemented algorithm takes advantage of the multithreaded architecture and GPU efficient image-processing functions present in OpenCV wherever possible, speeding up the running time and making it ...
The algorithm is hierarchical in nature to capture the inherent intra-contour spatial relationships between the parent and child contours of an object. ...
The inherent spatial relationships between the outer and inner contours of an object can be accurately defined and matched against a stored template. ...
doi:10.1109/icdis.2019.00030
dblp:conf/icdis/QuweiderALZK19
fatcat:upca5spm45bkbnndqjymrfr4du
Sparse Unmixing-Based Content Retrieval of Hyperspectral Images on Graphics Processing Units
2015
IEEE Geoscience and Remote Sensing Letters
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To optimize its performance in computational terms, the system has been implemented in parallel by taking advantage of the computational power of commodity graphics processing units. ...
The search is guided by a spectral library, which is used as a guide to retrieve the data in a robust and efficient way. ...
Sparse unmixing techniques are amenable for parallel implementation on GPUs [11] , which allows using these inexpensive hardware accelerators to increase the computational performance of our system. ...
doi:10.1109/lgrs.2015.2483679
fatcat:rdrfuy7gzfglhhpfl2avnwjpem
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