We propose an NFA-based algorithm called MIN-MAX to support matching of regular expressions (regexp) composed of Character Classes with Constraint Repetitions (CCR). MIN-MAX is well suited for massive parallel processing architectures, such as FPGAs, yet it is effective on any other computing platform. In MIN-MAX, each active CCR engine (to implement one CCR term) evaluates […]
Archives for June 2013
Tractable Reasoning and Efficient Query Answering in Description Logics
The current trend for building an ontology-based data management system (DMS) is to capitalize on efforts made to design a preexisting well-established DMS (a reference system). The method amounts to extracting from the reference DMS a piece of schema relevant to the new application needs—a module—, possibly personalizing it with extra constraints w.r.t. the application […]
A neural model of contour integration in the primary visual cortex
Algorithms that encode images using a sparse set of basis functions have previously been shown to explain aspects of the physiology of a primary visual cortex (V1), and have been used for applications, such as image compression, restoration, and classification. Here, a sparse coding algorithm, that has previously been used to account for the response […]
Medical image enhancement using resolution synthesis
We introduce the bilateral filter BF is the same bilateral filter we use in the HSF for improved resolution synthesis For picture blocks, BR(Bayesian reconstruction) simply uses the conventional JPEG decoder to decode the blocks. RS is a classification based image interpolation scheme which achieves optimal interpolation by training from image pairs at low resolution […]
Improved binary partition tree construction for hyperspectral images
The optimal exploitation of the information provided by hyperspectral images requires the development of advanced image-processing tools. Hyperspectral imaging enables the characterization of regions based on their spectral properties which provides a rich amount of information. This paper proposes the construction and the processing of a new region-based hierarchical hyperspectral image representation relying on the […]
Reconstruction of missing blocks in image transmission by using self-embedding
A new model of the content reconstruction problem in self-embedding systems, based on an erasure communication channel. In addition to the content hashes for authentication purposes, an encoder embeds in the image a reconstruction reference, which describes the content, and which can be used by a dedicated decoder to restore the tampered image fragments. Hence […]
Learning Horizontal Connections In A Sparse Coding Model Of Natural Images
Image prior models based on sparse and redundant representations are attracting more and more attention in the field of image restoration. The conventional sparsity-based methods enforce sparsity prior on small image patches independently. Unfortunately, these works neglected the contextual information between sparse representations of neighboring image patches . Sparse coding of image patches extracted from […]
Multimedia Search With Pseudo Revelance Feedback
Search reranking is regarded as a common way to boost retrieval precision. The problem nevertheless is not trivial especially when there are multiple features or modalities to be considered for search, which often happens in image and video retrieval. This paper proposes a new reranking algorithm , named circular reranking, that reinforces the mutual exchange of information across […]