Fuzzy transforms for compression and decompression of color videos

Martino, Ferdinando Di; Loia, Vincenzo; Sessa, Salvatore

doi:10.1016/j.ins.2010.06.030

Cited by 42 publications

(20 citation statements)

References 33 publications

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“…Strictly speaking, Theorems 1 and 2 assure that a discrete (even multi-dimensional) function can be approximated arbitrarily with a suitable inverse (multidimensional) F. transform provided that a convenient fuzzy partition of the universe of discourse is found via related basic functions. Like pointed out in our previous papers [35,36,[38][39][40], unfortunately Theorem 1 (resp. Theorem 2) is not constructive, in the sense that it does not give a tool to find an integer n(ε)(resp., k integers n(1, ε), .…”

Section: X K ) Be a Function Assigned On The Set Of Pointssupporting

confidence: 57%

Detection of Fuzzy Association Rules by Fuzzy Transforms

Martino

Sessa

2012

Advances in Fuzzy Systems

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We present a new method based on the use of fuzzy transforms for detecting coarse-grained association rules in the datasets. The fuzzy association rules are represented in the form of linguistic expressions and we introduce a pre-processing phase to determine the optimal fuzzy partition of the domains of the quantitative attributes. In the extraction of the fuzzy association rules we use the AprioriGen algorithm and a confidence index calculated via the inverse fuzzy transform. Our method is applied to datasets of the 2001 census database of the district of Naples (Italy); the results show that the extracted fuzzy association rules provide a correct coarse-grained view of the data association rule set.

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Section: X K ) Be a Function Assigned On The Set Of Pointssupporting

confidence: 57%

Detection of Fuzzy Association Rules by Fuzzy Transforms

Martino

Sessa

2012

Advances in Fuzzy Systems

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“…In the literature the concept of F-transform has been applied to many practical problems such as data compression [13], image processing [4][5][6][7], geology [14].…”

Section: Introductionmentioning

confidence: 99%

Fuzzy transforms method and attribute dependency in data analysis

Martino

Loia

Sessa

2010

Information Sciences

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“…A large number of block matching algorithms have been proposed over the last decades, such as the traditional methods found in [2]- [5], [7], [11], [15]- [16] and [24]. Amongst the available block matching algorithms, full search leads to the best possible match of the block in the reference frame with a block in another frame by calculating the cost function at each possible location in the search window.…”

Section: Literature Reviewmentioning

confidence: 99%