| Paper title: |
A Diminution Method of Large Multi-dimensional Data Retrievals |
| Published in: | Issue 2, (Vol. 4) / 2010 |
| Publishing date: | 2010-04-30 |
| Pages: | 15-19 |
| Author(s): | BAITHOON Nushwan Yousif |
| Abstract. | The intention of this work is to introduce a method of compressing data at the transmitter (source) and expanding it at the receiver (destination). The amount of data compression is directly related to data dimensionality, hence, for example an N by N RGB image file is considered to be an M-D, with M=3, image data file. Also, the amount of scatter in an M-D file, hence, the covariance matrix is calculated, along with the average value of each dimension, to represent the signature or code for each individual data set to be sent by the source. At the destination random sets can test a particular received signature so that only one set is acceptable thus giving the corresponding intended set to be received. Sound results are obtained depending on the constrains being implemented. These constrains are user tolerant in so far as how well tuned or rapid the information is to be processed for data retrieval. The proposed method is well suited in application areas where both source and destination are communicating using the same sets of data files at each end. Also such a technique is feasible for the availability of fast microprocessors and frame-grabbers. |
| Keywords: | Covariance Matrics, M Dimentional Data, Data Retrival, Data Compression, Pattern Vector. |
| References: | 1.. John Miano (1999) “Compressed Image File Formats JPEG, PNG, GIF, XBM, BMP”. Addison Wesley Longman, Inc. 2.. David Salomon (2007) “Data Compression the Complete Reference” Fourth Edition. Springer-Verlag London. 3.. Umbaugh, S. E. (1998) “Computer Vision and Image Processing: A Partical Approach Using CVIPtools”. Prentice Hall. 4.. Yun Q. Shi and Huifang Sun (2000) “IMAGE and VIDEO COMPRESSION for MULTIMEDIA ENGINEERING Fundamentals, Algorithms, and Standards”. CRC Press Boca Raton London New York Washington, D.C. 5.. Darrel Hankerson, Greg A. Harris and Peter D. Johnson, Jr. (2003) “Introduction to Information Theory and Data Compression”. Second Edition. CRC Press Boca Raton London New York Washington, D.C. 6.. Tinku Acharya and Ping-Sing Tsai (2005) “JPEG2000 Standard for Image Compression Concepts, Algorithms and VLSI Architectures”. John Wiley & Sons, Inc. 7.. David Salomon (2007) “Variable-length Codes for Data Compression”. Springer-Verlag London. 8.. David Salomon (2008) “A Concise Introduction to Data Compression”. Springer-Verlag London. 9.. Iain E.G. Richardson (2002) “Video Codec Design”. John Wiley & Sons, Inc. |
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