Briggs, F.A.,
Fu, K.S.,
Hwang, K., and
Wah, B.W.,
PUMPS Architecture for Pattern Analysis and Image Database Management,
TC(31), No. 10, October 1982, pp. 969-982.
BibRef
8210
Choras, R.S.,
Image Processing System for Industrial Robots,
IVC(2), No. 1, February 1984, pp. 31-33.
Elsevier DOI
BibRef
8402
Messner, R.A.[Richard A.],
Szu, H.H.[Harold H.],
An Image Processing Architecture for Real Time Generation
of Scale and Rotation Invariant Patterns,
CVGIP(31), No. 1, July 1985, pp. 50-66.
Elsevier DOI
BibRef
8507
Marsh, B.,
Brown, C.M.,
Le Blanc, T.,
Scott, M.,
Becker, T.,
Quiroz, C.,
Das, P.,
Karlsson, J.,
The Rochester Checkers Player: Multimodal Parallel Programming for
Animate Vision,
Computer(25), No. 2, February 1992, pp. 12-19.
BibRef
9202
Kubota, H.,
Okamoto, Y.,
Mizoguchi, H.,
Kuno, Y.,
Vision Processor System for Moving-Object Analysis,
MVA(7), 1993, pp. 37-43.
BibRef
9300
Alnuweiri, H.M.,
Prasanna Kumar, V.K.,
Fast Image Labeling Using Local Operators on Mesh-Connected Computers,
PAMI(13), No. 2, February 1991, pp. 202-207.
IEEE DOI
BibRef
9102
And:
Optimal Image Algorithms on an Orthogonally-Connected
Memory-Based Architecture,
ICPR90(II: 350-355).
IEEE DOI
BibRef
Lin, W.M.[Wei-Ming],
Prasanna Kumar, V.K.,
Efficient histogramming on hypercube SIMD machines,
CVGIP(49), No. 1, January 1990, pp. 104-120.
Elsevier DOI
0501
BibRef
Fisher, R.B.,
Trucco, E.,
Brown, M.D.,
Hume, A.C.,
MIMD and SIMD Parallel Range Data Segmentation,
DIPA93(147-174). Chapter 6.
BibRef
9300
Edinburgh
BibRef
Psomoulis, A.M.,
Cazajus, N.,
Dandouras, J.S.,
Barthe, H.,
Gangloff, M.,
Sarris, E.T.,
Development of an Innovative, Two-Processor Data Processing Unit for
the Magnetospheric Imaging Instrument Onboard the Cassini Mission to
Saturn--Part I: Hardware Architecture,
GeoRS(37), No. 4, July 1999, pp. 1980.
IEEE Top Reference.
BibRef
9907
Maxwell, B.A.[Bruce A.],
Fairfield, N.[Nathaniel],
Johnson, N.[Nikolas],
Malla, P.[Pukar],
Dickson, P.[Paul],
Kim, S.[Suor],
Wojtkowski, S.[Stephanie],
Stepleton, T.[Thomas],
A Real-Time Vision Module for Interactive Perceptual Agents,
MVA(14), No. 1, 2003, pp. 72-82.
Springer DOI
0304
BibRef
Earlier:
Without A7:
CVS01(190-200).
Springer DOI
0106
BibRef
You, J.[Jane],
Zhang, D.[David],
Smart Sensor: An On-board Image Processing System For Real-time Remote
Sensing,
IJIG(2), No. 3, July 2002, pp. 481-499.
0207
BibRef
Bonato, V.,
Marques, E.,
Constantinides, G.A.,
A Parallel Hardware Architecture for Scale and Rotation Invariant
Feature Detection,
CirSysVideo(18), No. 12, December 2008, pp. 1703-1712.
IEEE DOI
0812
BibRef
Lacassagne, L.[Lionel],
Manzanera, A.[Antoine],
Denoulet, J.[Julien],
Mérigot, A.[Alain],
High performance motion detection:
Some trends toward new embedded architectures for vision systems,
RealTimeIP(4), No. 2, June 2009, pp. xx-yy.
Springer DOI
0905
BibRef
Lacassagne, L.,
Milgram, M.,
Garda, P.,
Motion detection, labeling, data association and tracking, in real-time
on RISC computer,
CIAP99(520-525).
IEEE DOI
9909
BibRef
Cafaro, M.[Massimo],
Epicoco, I.[Italo],
Fiore, S.[Sandro],
Lezzi, D.[Daniele],
Mocavero, S.[Silvia],
Aloisio, G.[Giovanni],
Near real-time parallel processing and advanced data management of SAR
images in grid environments,
RealTimeIP(4), No. 3, August 2009, pp. xx-yy.
Springer DOI
0909
BibRef
Cossu, R.[Roberto],
Schoepfer, E.[Elisabeth],
Bally, P.[Philippe],
Fusco, L.[Luigi],
Near real-time SAR-based processing to support flood monitoring,
RealTimeIP(4), No. 3, August 2009, pp. xx-yy.
Springer DOI
0909
BibRef
Komuro, T.,
Tabata, T.,
Ishikawa, M.,
A Reconfigurable Embedded System for 1000 f/s Real-Time Vision,
CirSysVideo(20), No. 4, April 2010, pp. 496-504.
IEEE DOI
1003
BibRef
Jensen, L.B.W.[Lars Baunegaard With],
Kjær-Nielsen, A.[Anders],
Pauwels, K.[Karl],
Jessen, J.B.[Jeppe Barsøe],
van Hulle, M.M.[Marc M.],
Krüger, N.[Norbert],
A two-level real-time vision machine combining coarse- and fine-grained
parallelism,
RealTimeIP(5), No. 4, December 2010, pp. 291-304.
WWW Link.
1101
See also Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car, The.
BibRef
Jessen, J.B.[Jeppe Barsøe],
Pilz, F.[Florian],
Kraft, D.[Dirk],
Pugeault, N.[Nicolas],
Krüger, N.[Norbert],
Accumulation of Different Visual Feature Descriptors in a Coherent
Framework,
SCIA11(79-90).
Springer DOI
1105
BibRef
Bronstein, M.M.,
Lazy Sliding Window Implementation of the Bilateral Filter on Parallel
Architectures,
IP(20), No. 6, June 2011, pp. 1751-1756.
IEEE DOI
1106
BibRef
Huang, F.C.,
Huang, S.Y.,
Ker, J.W.,
Chen, Y.C.,
High-Performance SIFT Hardware Accelerator for Real-Time Image Feature
Extraction,
CirSysVideo(22), No. 3, March 2012, pp. 340-351.
IEEE DOI
1203
BibRef
Huang, F.[Fang],
Zhu, Q.A.[Qi-Ang],
Zhou, J.[Ji],
Tao, J.[Jian],
Zhou, X.C.[Xiao-Cheng],
Jin, D.[Du],
Tan, X.C.[Xi-Cheng],
Wang, L.[Lizhe],
Research on the Parallelization of the DBSCAN Clustering Algorithm
for Spatial Data Mining Based on the Spark Platform,
RS(9), No. 12, 2017, pp. xx-yy.
DOI Link
1802
BibRef
Deng, C.[Chao],
Song, J.W.[Jin-Wei],
Sun, R.Z.[Rui-Zhi],
Cai, S.H.[Sai-Hua],
Shi, Y.X.[Yin-Xue],
GRIDEN: An effective grid-based and density-based spatial clustering
algorithm to support parallel computing,
PRL(109), 2018, pp. 81-88.
Elsevier DOI
1806
Grid-based clustering, Density-based clustering, DBSCAN, GRIDEN,
Data mining, Massive spatial data, Parallel computing
BibRef
Meillier, C.[Céline],
Ammanouil, R.[Rita],
Ferrari, A.[André],
Bianchi, P.[Pascal],
Distribution strategies for very large 3D image deconvolution
algorithms,
SP:IC(67), 2018, pp. 149-160.
Elsevier DOI
1808
Image deconvolution, Distributed optimization algorithms, Large 3D data
BibRef
Laska, M.[Marius],
Herle, S.[Stefan],
Klamma, R.[Ralf],
Blankenbach, J.[Jörg],
A Scalable Architecture for Real-Time Stream Processing of
Spatiotemporal IoT Stream Data: Performance Analysis on the Example
of Map Matching,
IJGI(7), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Deng, B.[Bo],
Yu, X.M.[Xiao-Mo],
Yan, G.Q.[Gui-Qin],
Wu, L.G.[Li-Gang],
Visual computing resources distribution and balancing by multimodal
cat swarm optimization,
SP:IC(85), 2020, pp. 115816.
Elsevier DOI
2005
Visual computing, Resources distribution,
Multi-view feature fusion, Cat swarm optimization, Mixture ratio
BibRef
Hossain, M.A.[Md Amjad],
Khan, P.[Preoyati],
Lu, C.C.[Cheng Chang],
Clements, R.J.[Robert J.],
Distributed ImageJ(Fiji): a framework for parallel image processing,
IET-IPR(14), No. 12, October 2020, pp. 2937-2947.
DOI Link
2010
BibRef
Chen, Z.[Zheng],
Larsson, E.G.[Erik G.],
Consensus-Based Distributed Computation of Link-Based Network Metrics,
SPLetters(28), 2021, pp. 249-253.
IEEE DOI
2102
Measurement, Convergence, Consensus algorithm,
Signal processing algorithms, Eigenvalues and eigenfunctions,
total variation
BibRef
Erlacher, C.[Christoph],
Anders, K.H.[Karl-Heinrich],
Jankowski, P.[Piotr],
Paulus, G.[Gernot],
Blaschke, T.[Thomas],
A Framework for Cloud-Based Spatially-Explicit Uncertainty and
Sensitivity Analysis in Spatial Multi-Criteria Models,
IJGI(10), No. 4, 2021, pp. xx-yy.
DOI Link
2104
Cloud computing service.
BibRef
Wu, Z.B.[Ze-Bin],
Sun, J.[Jin],
Zhang, Y.[Yi],
Zhu, Y.Q.[Yao-Qin],
Li, J.[Jun],
Plaza, A.[Antonio],
Benediktsson, J.A.[Jón Atli],
Wei, Z.H.[Zhi-Hui],
Scheduling-Guided Automatic Processing of Massive Hyperspectral Image
Classification on Cloud Computing Architectures,
Cyber(51), No. 7, July 2021, pp. 3588-3601.
IEEE DOI
2106
Task analysis, Cloud computing, Processor scheduling, Sparks,
Scheduling, Hyperspectral imaging, Cloud computing,
partitioning factor
BibRef
Mai, S.T.[Son T.],
Jacobsen, J.[Jon],
Amer-Yahia, S.[Sihem],
Spence, I.[Ivor],
Tran, N.P.[Nhat-Phuong],
Assent, I.[Ira],
Nguyen, Q.V.H.[Quoc Viet Hung],
Incremental Density-Based Clustering on Multicore Processors,
PAMI(44), No. 3, March 2022, pp. 1338-1356.
IEEE DOI
2202
Clustering algorithms, Multicore processing, Databases,
Instruction sets, Time factors, Clustering methods, multicore CPUs
BibRef
Zhang, G.M.[Gui-Ming],
Xu, J.[Jin],
Multi-GPU-Parallel and Tile-Based Kernel Density Estimation for
Large-Scale Spatial Point Pattoern Analysis,
IJGI(12), No. 2, 2023, pp. xx-yy.
DOI Link
2303
BibRef
Mehrabi, M.[Mehrad],
Ardakani, M.H.[Maryam Haghighi],
Ardakani, M.[Masoud],
Deadline-Aware Coded Computation Across Homogeneous Workers,
SPLetters(30), 2023, pp. 982-986.
IEEE DOI
2309
BibRef
Xiang, Y.X.[Yu-Xin],
Tang, D.J.[Dong-Jie],
Huang, R.[Rui],
Yao, Y.[Yong],
Xie, C.[Chao],
Shi, Q.M.[Qi-Ming],
Xu, R.[Randy],
Haghighat, M.R.[Mohammad Reza],
Bao, C.[Cathy],
Gu, Y.C.[Yi-Cheng],
Qi, Z.W.[Zheng-Wei],
Guan, H.B.[Hai-Bing],
CARE: Cloudified Android With Optimized Rendering Platform,
MultMed(26), 2024, pp. 958-971.
IEEE DOI
2402
Rendering.
Cloud computing, Graphics processing units, Operating systems,
Hardware, Smart phones, Rendering (computer graphics), Kubernetes
BibRef
Wang, Z.X.[Zi-Xi],
Li, F.[Fan],
Zhang, Y.F.[Yun-Fei],
Zhang, Y.[Yuan],
Low-Rate Feature Compression for Collaborative Intelligence:
Reducing Redundancy in Spatial and Statistical Levels,
MultMed(26), 2024, pp. 2756-2771.
IEEE DOI
2402
Distribute storage and computation.
Image coding, Redundancy, Task analysis, Visualization,
Image restoration, Image reconstruction, Feature extraction, visual analysis
BibRef
Cree, M.J.,
An Exploration of Using the Intel AVX2 Gather Load Instructions for
Vectorised Image Processing,
IVCNZ18(1-9)
IEEE DOI
1902
Registers, Kernel, Loading, Image processing, Writing, Standards,
Indexes, SIMD, vectorisation, image processing
BibRef
Cooper, J.,
Concurrent ML as an Alternative Parallel Programming Style for Image
Processing,
IVCNZ18(1-6)
IEEE DOI
1902
Runtime, Parallel processing, Image processing,
Benchmark testing, Size measurement, Task analysis, Concurrent ML,
Hopac
BibRef
Fanello, S.R.,
Valentin, J.,
Kowdle, A.,
Rhemann, C.,
Tankovich, V.,
Ciliberto, C.,
Davidson, P.,
Izadi, S.,
Low Compute and Fully Parallel Computer Vision with HashMatch,
ICCV17(3894-3903)
IEEE DOI
1802
HashMatch, computer vision labeling tasks,
fully parallel low compute
Optimization
BibRef
Garov, A.S.,
Karachevtseva, I.P.,
Matveev, E.V.,
Zubarev, A.E.,
Florinsky, I.V.,
Development Of A Heterogenic Distributed Environment For Spatial Data
Processing Using Cloud Technologies,
ISPRS16(B4: 385-390).
DOI Link
1610
BibRef
Souza, R.[Roberto],
Rittner, L.[Leticia],
Lotufo, R.A.[Roberto A.],
Machado, R.[Rubens],
An array-based node-oriented max-tree representation,
ICIP15(3620-3624)
IEEE DOI
1512
BibRef
Earlier: A1, A2, A4, A3:
Maximal Max-Tree Simplification,
ICPR14(3132-3137)
IEEE DOI
1412
Data structures
OpenMP; array-based representation; max-tree; parallel processing
BibRef
Adrov, V.N.,
Drakin, M.A.,
Sechin, A.Y.,
High Performance Photogrammetric Processing On Computer Clusters,
ISPRS12(XXXIX-B4:109-112).
DOI Link
1209
BibRef
Xie, Q.J.,
Zhang, Z.Z.,
Ravada, S.,
In-database Raster Analytics: Map Algebra and Parallel Processing In
Oracle Spatial Georaster,
ISPRS12(XXXIX-B4:91-96).
DOI Link
1209
BibRef
Guan, X.,
A Robust Parallel Framework for Massive Spatial Data Processing On High
Performance Clusters,
ISPRS12(XXXIX-B4:213-217).
DOI Link
1209
BibRef
Wako, D.[Daisuke],
Kagami, S.[Shingo],
Hashimoto, K.[Koichi],
1000 fps Visual Feedback Control of an Active Vision System over a High-Load
Network,
MVA09(114-).
PDF File.
0905
Visual servoing, image analysis before transfer over network.
BibRef
Christinal, H.A.[Hepzibah A.],
Díaz-Pernil, D.[Daniel],
Real Jurado, P.[Pedro],
Region-based segmentation of 2D and 3D images with tissue-like P
systems,
PRL(32), No. 16, 1 December 2011, pp. 2206-2212.
Elsevier DOI
1112
BibRef
Earlier:
Segmentation in 2D and 3D Image Using Tissue-Like P System,
CIARP09(169-176).
Springer DOI
0911
BibRef
And:
Using Membrane Computing for Obtaining Homology Groups of Binary 2D
Digital Images,
IWCIA09(383-396).
Springer DOI
0911
P systems; Membrane Computing; Digital image; Region-based
segmentation; Digital topology.
A computation technique. Parallel segmentation in constant time.
BibRef
Díaz-Pernil, D.[Daniel],
Berciano, A.[Ainhoa],
Peña-Cantillana, F.[Francisco],
Gutiérrez-Naranjo, M.A.[Miguel A.],
Segmenting images with gradient-based edge detection using Membrane
Computing,
PRL(34), No. 8, June 2013, pp. 846-855.
Elsevier DOI
1305
Edge detection; Sobel algorithm; Tissue P systems; Membrane Computing;
CUDA
BibRef
Chang, L.[Leonardo],
Hernández-Palancar, J.[José],
A Hardware Architecture for SIFT Candidate Keypoints Detection,
CIARP09(95-102).
Springer DOI
0911
BibRef
Liu, H.Y.[Hang-Ye],
Fan, Y.H.[Yong-Hong],
Deng, X.Q.[Xue-Qing],
Ji, S.[Song],
Parallel Processing Architecture of Remotely Sensed Image Processing
System Based on Cluster,
CISP09(1-4).
IEEE DOI
0910
BibRef
Janowczyk, A.[Andrew],
Chandran, S.[Sharat],
Aluru, S.[Srinivas],
Fast, Processor-Cardinality Agnostic PRNG with a Tracking Application,
ICCVGIP08(171-178).
IEEE DOI
0812
PRNG: pseudo random number generation
BibRef
Sun, S.F.[Shui-Fa],
Lei, B.J.[Bang-Jun],
Zheng, S.[Sheng],
Kwong, S.[Sam],
Zhou, X.J.[Xue-Jun],
Design an Aperiodic Stochastic Resonance Signal Processor for Digital
Watermarking,
DW07(350-364).
Springer DOI
0712
BibRef
Dietlmeier, J.[Julia],
Ghita, O.[Ovidiu],
Whelan, P.F.[Paul F.],
A New Anticorrelation-Based Spectral Clustering Formulation,
ACIVS11(139-149).
Springer DOI
1108
BibRef
Dietlmeier, J.,
Begley, S.,
Whelan, P.F.,
Cost-Effective HPC Clustering for Computer Vision Applications,
IMVIP08(97-102).
IEEE DOI
0809
HPC: high performance computing.
BibRef
Cabido, R.[Raúl],
Montemayor, A.S.[Antonio S.],
Sánchez, Á.[Ángel],
Hardware-Accelerated Template Matching,
IbPRIA05(I:691).
Springer DOI
0509
BibRef
López-de-Teruel, P.E.[Pedro E.],
Ruiz, A.[Alberto],
García-Mateos, G.[Gines],
García, J.M.[Jose M.],
Real-Time Extraction of Colored Segments for Robot Visual Navigation,
CVS03(428 ff).
Springer DOI
0306
BibRef
Arita, D.[Daisaku],
Taniguchi, R.I.[Rin-Ichiro],
RPV-II: A stream-based real-time parallel vision system and its
application to real-time volume reconstruction,
CVS01(174-189).
Springer DOI
0106
BibRef
Taniguchi, R.I.,
Amamiya, M.,
AMP: an autonomous multi-processor for image processing and computer
vision,
ICPR90(II: 497-500).
IEEE DOI
9208
BibRef
Géraud, T.,
Fabre, Y.,
Duret-Lutz, A.,
Papadopoulos-Orfanos, D.,
Mangin, J.F.,
Obtaining Genericity for Image Processing and Pattern Recognition
Algorithms,
ICPR00(Vol IV: 816-819).
IEEE DOI
0009
BibRef
Daescu, O.,
Kogge, P.M.,
Chen, D.Z.,
Parallel content-based image analysis on PIM processors,
CBAIVL98(73-77).
IEEE Top Reference.
0208
BibRef
Nair, D.,
Aggarwal, J.K.,
Hierarchical, Modular Architectures for Object Recognition by Parts,
ICPR96(I: 601-606).
IEEE DOI
9608
(Univ. of Texas, Austin, USA)
BibRef
Guil, N.,
Zapata, E.L.,
Parallelization of irregular algorithms for shape detection,
ICIP96(II: 129-132).
IEEE DOI
9610
BibRef
Khokhar, A.A.,
Prasanna, V.K.,
Kim, H.J.,
Scalable geometric hashing on MasPar machines,
CVPR93(594-595).
IEEE DOI
0403
BibRef
Khokhar, A.A.,
Prasanna, V.K.,
Parallel Algorithms for Stereo and Image Matching,
DARPA92(1057-1062).
BibRef
9200
Chakrapani, P.N.,
Khokhar, A.A.,
Prasanna, V.K.,
Parallel stereo on fixed size arrays using zero crossings,
ICPR92(IV:79-82).
IEEE DOI
9208
BibRef
Bederson, B.B.,
Wallace, R.S.,
Schwartz, E.L.,
A miniaturized active vision system,
ICPR92(IV:58-61).
IEEE DOI
9208
BibRef
Cavaiuolo, M.,
Yakovleff, A.,
Kershaw, J.A.,
Watson, C.R.,
Krnak, D.A.,
Motion analysis using the neural accelerator board,
ICPR92(IV:173-176).
IEEE DOI
9208
BibRef
Sicard, E.,
Font, J.,
Homar, M.,
Rubio, A.,
An integrated approach to real-time pattern recognition,
ICPR92(IV:177-180).
IEEE DOI
9208
BibRef
Shams, S.,
Gaudiot, J.L.,
Efficient implementation of neural networks on the DREAM machine,
ICPR92(IV:204-208).
IEEE DOI
9208
BibRef
Liu, W.,
Yeh, T.F.,
Batchelor, W.E.,
Cavin, R.,
Bit Level Concurrency in Real-Time Geometric Feature Extractions,
CVPR88(957-962).
IEEE DOI
BibRef
8800
Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
General Parallel, Multi-Processor or Multicore, Algorithms .