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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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Spatial matching for object retrieval is often time-consuming and susceptible to viewpoint changes. ...
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. ...
Mao for helpful suggestions and works in this research. ...
doi:10.1109/tmm.2011.2165053
fatcat:cfiunx2lqfhblnfgzxhh5gyrxu
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. ...
Conclusion and Future Work In this paper, parallel implementation was performed for color based image retrieval using CUDA programming model to run on GPU. ...
doi:10.5815/ijitcs.2014.01.04
fatcat:pj4vrlbprbdhzbummd5a4pmpwi
Accelerating CBIR System using Graphics Processing Unit in OPEN CV Environment
2015
International Journal of Computer Applications
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Finally on comparing the execution times of serial implementation and parallel implementation a considerable speed up of 15 % on an average was obtained. ...
Content Based Image Retrieval is a system for retrieving the images from a dataset of images. ...
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 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. ...
Index Terms-Texture based image retrieval, Entropy, CUDA, GPU I. ...
In this paper, parallel imp lementation was performed for texture based image retrieval using CUDA programming model to run on GPU. ...
doi:10.5815/ijigsp.2013.09.06
fatcat:ikkoko54h5akrodcjug6tfana4
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). ...
The GPU-based approach (NVIDIA Quadro 6000 GPU) achieved around 10x speedups on average over the 8-core CPU parallel implementations (two Intel E5405 processors) for query processing on synthetic datasets ...
doi:10.1007/978-3-319-25660-3_4
fatcat:qdkslwlgjzesdfnzvkbrpsgmti
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. ...
We propose an efficient image matching algorithm on GPU, because
appropriate algorithms and implementation are necessary to exploit the par-
allel processing power of GPU. ...
doi:10.13052/jmm1550-4646.1423
fatcat:ndlqdt7mxvdvxc7ykikxc4yhpq
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
GPU-Based PostgreSQL Extensions for Scalable High-Throughput Pattern Matching
2014
2014 22nd International Conference on Pattern Recognition
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This framework was specifically designed to support pattern matching on GPU from within the database environment. ...
, spatial, or text search. ...
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
GPU-based Acceleration of Methods based on Clock Matching Metric for Large Scale 3D Shape Retrieval
2018
Scalable Computing : Practice and Experience
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makes the parallelization on GPU to be not trivial. ...
Our challenge is to exploit the maximum benefit of GPU computing resource by considering the difficulty of implementing the CM metric on GPU. ...
For multi-GPU, the database of m 3D objects can be divided on the number k of GPUs. Each one performs the matching of m/k 3D models independently. 6. Conclusion. ...
doi:10.12694/scpe.v19i1.1391
fatcat:lk2wwpf52nhj7gcbquwzf4ximq
Full Speed Ahead: 3D Spatial Database Acceleration with GPUs
[article]
2018
arXiv
pre-print
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This paper presents a pluggable acceleration engine for spatial database systems that can improve the performance of spatial operations by more than 3000x through GPU offloading. ...
We focus on the design and evaluation of our plug-in for the PostgreSQL database system. ...
Sitaridi et. al. propose an implementation of relational operators on GPU processors. Their focus is related to string matching in SQL queries. ...
arXiv:1808.09571v1
fatcat:xr7x77zdwfdmroc5ucmce4fmii
Effective and Efficient Image Copy Detection Based on GPU
[chapter]
2012
Lecture Notes in Computer Science
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To improve time performance, the process of local features generation and OM calculating are implemented on the GPU through NVIDIA CUDA. ...
To improve the accuracy and efficiency of image copy detection, a novel system is proposed based on Graphics Processing Units (GPU). ...
Implementation on the GPU This section presents the implementation of our image copy detection system on the GPU. ...
doi:10.1007/978-3-642-35740-4_26
fatcat:zde7qtiq6rae5bl46b6p4te5ze
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 ...
In this paper, we revisit the merits of low complexity design of CDVS core techniques and present a very fast CDVS encoder by leveraging the massive parallel execution resources of GPU. ...
CNN requires extremely fast parallel feature extraction on GPU. In [20] , a highly optimized GPU implementation of CNN is made publicly available for training networks. ...
doi:10.1109/tip.2018.2794203
pmid:29432101
fatcat:2dr3sc66djcwnofwht6be2n7zm
U2STRA
2012
Proceedings of the 2012 ACM workshop on City data management workshop - CDMW '12
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An impressive 87X speedup for spatial aggregations of GPS point locations and 25-40X speedups for trajectory queries over serial CPU implementations have been achieved. ...
We have further developed an end-to-end trajectory similarity query processing technique on GPUs. ...
First of all, as we plan to implement the design on parallel hardware (GPUs to be more specific), the proposed design needs to be parallelization friendly. ...
doi:10.1145/2390226.2390229
fatcat:7v2spz6lazdgpbcbynxpvxu6xe
Speeding up Spatial Database Query Execution using GPUs
2012
Procedia Computer Science
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With the advent of massively-parallel graphics-processing hardware (GPUs) and frameworks like CUDA, opportunities for speeding up spatial processing have emerged. ...
One of the main challenges in using GPUs is the transfer time from main memory to GPU memory. ...
To determine the parallelization potential of spatial queries on GPUs, we implemented a set of basic spatial functions on a GPU using the CUDA framework. ...
doi:10.1016/j.procs.2012.04.205
fatcat:zx2oopjqmjadrgezon7mhakgzm
A New Digital Repository for Hyperspectral Imagery With Unmixing-Based Retrieval Functionality Implemented on GPUs
2014
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
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The system is implemented on a parallel cluster system in order to guarantee storage availability and fast performance. ...
In order to accelerate the process of obtaining the metadata for a new entry in the system, we develop efficient implementations of spectral unmixing algorithms on graphics processing units (GPUs). ...
Parallel Implementations As mentioned above, the extraction of meta-data for a given hyperspectral image has been efficiently implemented in a cluster of GPUs called CETA-GPU-CLUSTER. ...
doi:10.1109/jstars.2014.2314601
fatcat:ynnvtbxylnamhnvautt43ospf4
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