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11. 发明授权

EP1642237B1 METHOD AND APPARATUS FOR VECTOR QUANTIZATION USING A SHARED CODEBOOK 有权
标题翻译：方法和设备矢量以共同码本
公开(公告)号：EP1642237B1
公开(公告)日：2008-08-06
申请号：EP04737868.2
申请日：2004-06-25
申请人： CANADIAN SPACE AGENCY
发明人： QIAN, Shen-En , HOLLINGER, Allan, B.
IPC分类号： G06T9/00
CPC分类号： H03M7/3082
摘要： The present invention relates to a method for compressing a continuous data flow based on lossy compression. In real-time data compression, a series of data subsets acquired in a given period of time are treated as a regional data cube for the purpose of dividing a continuous series of data subsets into a plurality of data cubes. Reuse of existing codevectors is important in achieving high compression performance. For encoding spectral vectors on a subset-by-subset basis in a current region two types of codevectors are used, codevectors that have been newly trained for previous data subsets in the current region and codevectors trained for the previous region. The problem of a visible spatial boundary between two adjacent regions after decompression is overcome by reusing the codevectors trained from a previous region to encode the spectral vectors in the current region in order to attain a seamless conjunction of the two adjacent regions. Experimental results show that the method for compressing a continuous data flow in real-time according to the present invention performs as well as data compression performed in batch mode. Therefore, the method is highly advantageous in, for example, space applications or medical imaging.

12. 发明公开

EP1665077A2 DATA COMPRESSION ENGINES AND REAL-TIME WIDEBAND COMPRESSOR FOR MULTI-DIMENSIONAL DATA 审中-公开
标题翻译：数据压缩引擎和实时宽带KOMPRESSOR多维数据
公开(公告)号：EP1665077A2
公开(公告)日：2006-06-07
申请号：EP04761745.1
申请日：2004-08-30
申请人： CANADIAN SPACE AGENCY
发明人： QIAN, Shen-En , HOLLINGER, Allan, B. , GAGNON, Luc
IPC分类号： G06F17/16 , H03M7/30
CPC分类号： H04N19/94 , G01J3/2823 , H03M7/3082
摘要： The present invention relates to a real-time wideband compressor for multi-dimensional data. The compressor comprises a plurality of compression engines for simultaneously compressing a plurality of data subsets of a set of input data vectors and providing compressed data thereof using one of SAMVQ or HSOCVQ data compression. Each compression engine comprises an along spectral vectors codevector trainer as well as an across spectral bands codevector trainer. The compression engines are programmable to perform either along spectral vectors codevector training or across spectral bands codevector training in combination with one of the SAMVQ or HSOCVQ techniques without changing hardware. The compressor further comprises a network switch for partitioning the set of input data vectors into the plurality of data subsets, for providing each of the plurality of data subsets to one of the plurality of compression engines, and for transmitting the compressed data. The real-time wideband compressor is highly advantageous in, for example, space applications by programmable enabling performance of different techniques of codevector training as well as different techniques of VQ. Furthermore, after the compression process is started the compression process is performed autonomously without external communication.

13. 发明公开

EP1642237A1 METHOD AND APPARATUS FOR VECTOR QUANTIZATION USING A SHARED CODEBOOK 有权
标题翻译：方法和设备矢量以共同码本
公开(公告)号：EP1642237A1
公开(公告)日：2006-04-05
申请号：EP04737868.2
申请日：2004-06-25
申请人： CANADIAN SPACE AGENCY
发明人： QIAN, Shen-En , HOLLINGER, Allan, B.
IPC分类号： G06T9/00
CPC分类号： H03M7/3082
摘要： The present invention relates to a method for compressing a continuous data flow based on lossy compression. In real-time data compression, a series of data subsets acquired in a given period of time are treated as a regional data cube for the purpose of dividing a continuous series of data subsets into a plurality of data cubes. Reuse of existing codevectors is important in achieving high compression performance. For encoding spectral vectors on a subset-by-subset basis in a current region two types of codevectors are used, codevectors that have been newly trained for previous data subsets in the current region and codevectors trained for the previous region. The problem of a visible spatial boundary between two adjacent regions after decompression is overcome by reusing the codevectors trained from a previous region to encode the spectral vectors in the current region in order to attain a seamless conjunction of the two adjacent regions. Experimental results show that the method for compressing a continuous data flow in real-time according to the present invention performs as well as data compression performed in batch mode. Therefore, the method is highly advantageous in, for example, space applications or medical imaging.

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