| [1] | 1沈兰荪.图像编码与异步传输.北京:人民邮电出版社, 1997
|
| [2] | 2高文.多媒体数据压缩技术.北京:电子工业出版社,1994
|
| [3] | 3张宏江.新一代多媒体:压缩,传输,结构化与智能测览北京:国家 863第 3期高级人才培训班, 1999
|
| [4] | 4章毓晋.基于内容的多媒体信息检索与国际标准.见:第九届全国图像图形学学术会议论文集, 1998
|
| [5] | 5 Sakai Y, Kataoka. Searching multimedia information in distributed environment. IEEE Trans onCommunication, 1996, 8 (9): 79-85
|
| [6] | 6 Chang S F. Compressed-domain techniques for image/video indexing and manipulation. IEEE ICIP'95Special Issue on Intelligent Signal Processing, 1995, 13 (1): 1-11
|
| [7] | 7向辉,石教英.压缩域多媒体数据处理技术研究.中国图像图形学报, 1999, 4(7): 539～543
|
| [8] | 8 Smith B C, Rowe L A. Algorithms for manipulating compressed images. IEEE Computer Graphics andApplications, 1993 (9): 34-42
|
| [9] | 9 Wallace G K The JPEG: still picture compression standard. Communications of the ACM, 1991, 34(4):233-245
|
| [10] | 10 MPEG-1, Coding of moving pictures and associated audio, Tech Report: Committee Draft of StandardISO 11172, 1990
|
| [11] | 11 MPEG-2, Information technology-generic coding of moving pictures and associated audio, Tech Report,ISO/IEC 13818-2, Committee Draft, 1994
|
| [12] | 12 Cosman P C, Oehler K L Using vector quantizatison for image processing. Proc of IEEE, 1993, 81 (9).1326-1341
|
| [13] | 13 Yomdin Y, Elichai Y. Normal forms representation: a technology for image compression. In SPIEProceedings: Image and Video Processing. 1993
|
| [14] | 14 Biao Chen, Shahram Latifi. Edge enhancement of remote sensing image data in the DCT domain. Imageand Vision Computing, 1999 (17) : 913-921
|
| [15] | 15 Konstantinides K. Bhasharan V. Image sharpening in the JPEG Domain. 1999, 8 (6): 874-878
|
| [16] | 16 R Lde Queiroz, Eschbach K Fast segmentation of the JPEG compressed documents. Journal ofElectronic Imaging, 1998, 7 (2): 367-377
|
| [17] | 17 Chang S F, Chen W I. Video compositing in the DCT domain. IEEE Workshop in visual signalprocessing and communication, 1992
|
| [18] | 18 Chang S F, Messerschmitt D G. Manipulation and compositing of MC-DCT compressed video. IEEEJournal on selected areas in communication, 1995, 13 (1):1-11
|
| [19] | 19 Chang S F. Some new algorithms for processing images in the transform compressed domain. Proc ofSPIE Visual Comm and Image Processing, 5/1995
|
| [20] | 20 Chiptrasert B, Rao K P. Discrete cosine transform filtering. Signal processing, 1990, 19(3): 233-245
|
| [21] | 21 Ngan K N, Clarke P J. Lowpass filtering in the cosine transform domain. Int Conf Communication,Seattle, WA, 6/1980
|
| [22] | 22 Lee J B, Lee B G. Transform domain filtering based on pipelining structure. IEEE Trasnsactions onsignal processing, 1992, 40 (8): 2061-2064
|
| [23] | 23 Arman F, Hsu A, Chin M Y. Image processing on compressed data for large video databases. ProcACM Multimedia 93, Anaheim, CA, 1993
|
| [24] | 24 Yeo B L, Liu B. A unified approach to temporal segmentation of motion JPEG and MPEG compressedvideo. Proc of IEEE International conference on Multimedia computing and Systems, Washington, DC,1995
|
| [25] | 25 Wolf L C. Multimedia communication. Proceedings of IEEE, 1997, 85(12). 1915-1933
|
| [26] | 26 Abut K Ed. Vector quanhzation. New York: IEEE PRESS, 1990
|
| [27] | 27 Cosman P C, Riskin E A, Gray R M. Combining vector quantization and histogram equalization.Informat Processing manag, 1992, 28 (6): 681-686
|
| [28] | 28 Cosman P C, Riskin E A, Grasy R M. Combining vector quantization and adaptive histogramequalization. In Proc Medical Imaging, 1992
|
| [29] | 29 Hummel R. Image enhancement by histogram transformation. Comput Graph Image Processing, 1977,6 (2): 184-195
|
| [30] | 30 Gersho A, Gray R M. Vector quantization and signal compression. Boston, MA: Xiuwer, 1992
|
| [31] | 31 Jaisimha M Y, Riskin E A, Haralick R M. Fast facet edge detection in image sequences using vectorquantization. In Proc ICASSP. 1992(3). 441-444
|
| [32] | 32 Haralick R M. digital step edges from zero crossings of second directional derivatives. IEEE TransPattern Anal Machine Intel, 1984 (6): 58-68
|
| [33] | 33 Melean G F. Codebook edge detection. CVGIP: Graphical Models Image Process, 1993, 55(1): 48-57
|
| [34] | 34 Zhou Jie, Peng Jiaoxiong. Improved codebook edge detection. CVGIP: Graphical Models Image Process,1993, 57(6): 48-57
|
| [35] | 35 Cover T M Hart P E. Nearest neighbor pattern classification. IEEE Trans Informat Theory, 1967, (13):21-27
|
| [36] | 36 Melean G F. Vector quantization for taxture classification. IEEE Trans Syst Man Cybnet, 1993, 23(3):
|
| [37] | 37 Kohonen T. An intreduction to neural computing. Neural Networks, 1988, (1): 3-16
|
| [38] | 38 Kohonen T. Statistical pattern recognition with neural networks: benchmarking studies. In IEEE Int Confon Neural Networks. 1988
|
| [39] | 39 Chou P A, Lookabaugh T. Entropy-constrained vector quantiation. IEEE Trans Acoust Speech SignalProcessing, 1989 (37): 31-42
|
| [40] | 40 Oehler K L, Gray R M. Combining image classification and image compression using vector quantization.In Proc. IEEE Data Compression Conf. 1993
|
| [41] | 41付新文,李像霖,张妙兰.一种基于矢量量化的纹理匹配分类方法.见:第九界全国图像图形学学术会议论 文集, 1998
|
| [42] | 42 Idris F, Panchanathan S. Image indexing using vector quantization. SPIE Proceedings: Storage andRetrieval for Image and Video databases. 1995(2420). 373-380
|
| [43] | 43 Idris F, Panchanathan S. Storage and retrieval of compressed images. IEEE Trans Consumer Electronics,1995, 41 (3). 937-941
|
| [44] | 44 Idris F, Panchanathan S. Image indexing using wavelet vector quantization. SPIE Proceedings: digitalImage Storage Archiving Systems. 1995(2606): 269-275
|
| [45] | 45 Lee J, Dickinson B W. Multiresolution video indexing for sub-band coded video database. SPIEProceedings. Storage and Retrieval for Image and Video databases. 1995, (2420): 162-173
|
| [46] | 46 Jiang J. An image compression and indexing system using neural networks. Journal of VisualCommunication and Image Representation, 1997, 8 (2). 135-145
|
| [47] | 47 Drebin R A, Carpenter L, Hanrahan P. Volume rendering. Computer Graphics, 1988, 22(4): 65-74
|
| [48] | 48 Vander R A, Chou P A. An algorithm for joint vector quantization and halftoner design. In ProcICASSP. 1992 (3). 497-500
|
| [49] | 49 Mitehell D Swanson, Ahmed H Tewfik. Fast progressively refined image retrieval. Journal of ElectronicImaging, 1998, 7 (3). 443-452
|
| [50] | 54 Alex Pentland, Bradley Holowitz. A practical approach to fractal based image compression. Proc IEEE,1991 (13): 176-185
|
| [51] | 55 Liang K C. Implementation and performance evaluation of a progressive image retrieval system. SPIE,1997 (3312). 37-49
|
| [52] | 56 Mallat S, Zhong S. Characterization of signals from multiscale edges. IEEE Trans PAMI, 1992, 14(7):710-731
|
| [53] | 57 MPEG-4. Information technology-generic coding of audio-visual objects. Flual Draft of InternationalStandards, ISO/IEC 14496-2. 1998
|
| [54] | 58 Chiariglione L. MPEG and multimedia communications. IEEE Trans on Circuits and Syetems for VideoTechnology, 1997, 7 (1) :5-18
|
| [55] | 59 Meng J, Chang S F. CVEPS: a compressed video editing and parsing system. In Proceeding of ACMMulitmedia Conference. 1996
|
| [56] | 60 MPEG-4. Hue granular scalability with wavelelts coding, ISO/IEC JTCI/SC29/WG11 M4021, 1998
|
| [57] | 61 Wolf L C. Multimedia communication. Proceedings of IEEE, 1997, 85(12). 1915-1933
|
| [58] | 50 Wei Hai, Shen Lansun. Fractal-based image storage and Indexing. SPIE. 2000, (3972): 421-429
|
| [59] | 51 Jacquin A E. Fractal image coding. a review. Proc IEEE, 1993 (81): 1451-1465
|
| [60] | 52 Lu Guojun. Fractal image compression. Signal Processing: Image Communication. 1993
|
| [61] | 53 Wein C J, Blake I F. On the Performance of fractal image compression with clustering. IEEE Trans onimage Processing, 1996 (5). 522-526
|
