20.2.3 Applied Parallel Systems and Algorithms

Chapter Contents (Back)
Parallel Algorithms.

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

Han, Y.Z.[Yi-Zeng], Liu, Z.[Zeyu], Yuan, Z.H.[Zhi-Hang], Pu, Y.F.[Yi-Fan], Wang, C.F.[Chao-Fei], Song, S.[Shiji], Huang, G.[Gao],
Latency-Aware Unified Dynamic Networks for Efficient Image Recognition,
PAMI(46), No. 12, December 2024, pp. 7760-7774.
IEEE DOI 2411
Dynamic scheduling, Heuristic algorithms, Computational modeling, Convolution, Processor scheduling, Hardware, Scheduling, vision transformers BibRef


Sun, R.[Rémy], Ramé, A.[Alexandre], Masson, C.[Clément], Thome, N.[Nicolas], Cord, M.[Matthieu],
Towards efficient feature sharing in MIMO architectures,
ECV22(2696-2700)
IEEE DOI 2210
Performance evaluation, Impedance matching, Neural networks, Computer architecture 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 .


Last update:Nov 26, 2024 at 16:40:19