|
[1] Michael S L, Nicu S, Chabane D, et al. Content-based multimedia information retrieval: state of the art and challenges
[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2006, 2(1):1-19.
[2] Martinez J M. MPEG-7 overview:technical report . N6828 ISO/IEC/JTC1/SC29/WG11, 2004.
[3] Cao J, Lan Y, Li J, et al. Intelligent multimedia group of Tsinghua University ad TRECVID 2006 // Proceedings of TRECVID’06. 2006.
[4] Intel®. Multi-core technology . . http://www.intel.com/multi-core/.
[5] Zhang Q, Chen Y, Li J, et al. Parallelization and performance analysis of video feature extractions on multi-core based systems // Proceedings of the 36th International Conference on Parallel Processing. Xi’an, China, 2007.
[6] Zhang Q, Chen Y, Zhang Y, et al. SIFT implementation and optimization for multi-core systems // Proceedings of the 22nd IEEE International Parallel and Distributed Processing Symposium. Miami, Florida, United States, 2008.
[7] Feng H, Li E, Chen Y, et al. Parallelization and characterization of SIFT on multi-core systems // Proceedings of IEEE International Symposium on Workload Characterization, 2008. Seattle, USA, 2008.
[8] Miao Q, Chen Y, Li J, et al. Parallelization and optimization of a CBVIR system on multi-core architectures // Proceedings of the 23rd IEEE International Parallel and Distributed Processing Symposium. Rome, Italy, 2009.
[9] Li E, Li W, Tong X, et al. Accelerating video-mining applications using many small, general-purpose cores
[J]. IEEE Micro, 2008, 28(5):8-21.
[10] Li W, Tong X, Wang T, et al. Parallelization strategies and performance analysis of media mining applications on multi-core processors
[J]. Journal of Signal Processing Systems, 2009, 57(2):213-228.
[11] Hong C, Chen W, Zheng W, et al. Parallelization and characterization of probabilistic latent semantic analysis // Proceedings of the 37th International Conference on Parallel Processing. 2008:628- 635.
[12] Snavely A, Tullsen D M, Voelker G. Symbiotic jobscheduling with priorities for a simultaneous multithreading processor // Proceedings of the SIGMETRICS’02. 2002:66-76.
[13] Fedorova A, Seltzer M, Small C, et al. Performance of multithreaded chip multiprocessors and implications for operating system design // Proceedings of the USENIX’05. 2005:26.
[14] Fedorova A, Seltzer M, Smith M D. Improving performance isolation on chip multiprocessors via an operating system scheduler // Proceedings of the PACT’07. 2007:25-38.
[15] Chen S, Gibbons P B, Kozuch M, et al. Scheduling threads for constructive cache sharing on CMPs // Proceedings of the SPAA’07. 2007:105-115.
[16] Lee R, Ding X, Chen F, et al. MCC-DB: Minimizing cache conflicts in multi-core processors for databases // Proceedings of the VLDB’09. 2009.
[17] Sutter H. The free lunch is over: A fundamental turn toward concurrency in software
[J]. Dr Dobb’s Journal, 2005, 30(3).
[18] Huang J, Kumar S R, Mitra M, et al. Spatial color indexing and applications
[J]. International Journal of Computer Vision, 1999, 35(3):245-268.
[19] Mao J, Jain A K. Texture classification and segmentation using multi-resolution simultaneous autoregressive models
[J]. Pattern Recognition, 1992, 25(2):173-188.
[20] Manjunath B S, Ma W Y. Texture features for browsing and retrieval of image data
[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(8):837-842.
[21] Lowe D G. Distinctive image features from scale-invariant keypoints
[J]. International Journal of Computer Vision, 2004, 60(2):91-110.
[22] Ma W Y, Zhang H J. Benchmarking of image features for content-based retrieval // Conference Record of the 32nd Asilomar Conference on Signals, Systems & Computers. Pacific Grove, CA, 1998:253-257.
[23] Xu K, Georgescu B, Comaniciu D, et al. Performance analysis in content-based retrieval with textures // Proceedings of the 15th International Conference on Pattern Recognition. 2000:4275-4279.
[24] Campbell M, Ebadollahi S, Naphade M, et al. IBM research TRECVID-2006 Video retrieval system // Proceedings of TRECVID’06. 2006.
[25] Lee T S. Image representation using 2D Gabor wavelets
[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(10):959-971.
[26] Estrada F, Jepson A, Fleet D. Local features tutorial: technique report . (2004) . http://www.cs.toronto.edu/~jepson/csc2503/tutSIFT04.pdf.
[27] Intel Corporation. Intel®. VTuneTM performance analyzer . . http://www.intel.com/software/products/vtune/.
[28] Matteo F, Steven G J. The design and implementation of FFTW3 //Proceedings of the IEEE, 2005, 93(2): 216-231.
[29] Intel Corporation. Intel®. Math kernel library . http://www.intel.com/software/products/mkl/.
[30] Intel Corporation. Intel®. 64 and IA-32 architectures optimization reference manual
[M]. CA, USA: Intel Corporation, 2006.
[31] Hugher C J, Grzeszczuk R, Sifakis E, et al. Physical simulation for animation and visual effects: parallelization and characterization for chip multiprocessors // Proceedings of the 34th Annual International Symposium on Computer Architecture. 2007.
[32] The OpenMP Architecture Review Board. OpenMP C and C+ + application program interface Ver 2.0 .(2002-03) .http://www.openmp.org/mp-documents/cspec20.pdf.
[33] Intel®. Thread checker . . http://software.intel.com/en-us/intel-thread-checker/
[34] Salehi J D, Kurose J F, Towsley D F. The effectiveness of affinity-based scheduling in multiprocessor network protocol processing
[J]. IEEE/ACM Transactions on Networking, 1996, 4(4):516-530.
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