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We present a new technique for content based image retrieval using motif cooccurrence matrix (MCM). The MCM is derived from the motif transformed image. The whole image is divided into 2 £ 2 pixel grids. Each grid is replaced by a scan motif that minimizes the local gradient while traversing the 2 £ 2 grid forming a motif transformed image. The MCM is then(More)
Robustness is a key issue in pedestrian detection for autonomous vehicles. Contextual information, if well exploited, should increase robustness and performance. Specifically, contextual knowledge allows for the integration of algorithms performing well only in specific situations, which would otherwise be excluded from a system designed for the general(More)
In this paper, we propose " stable marriages " algorithms based on a novel representation called marriage table. After explaining how properties as global satisfaction, sex equality and stability show in the representation, we define 3 algorithms corresponding to 3 different scans of the marriage table to meet progressively all constraints. The performance(More)
We present a novel image feature descriptor for rotation-ally invariant 2D texture classification. This extends our previous work on noise-resistant and intensity-shift invariant median binary patterns (MBPs), which use binary pattern vectors based on adaptive median thresholding. In this paper the MBPs are hashed to a binary chain or equivalence class(More)
This paper describes a Reconngurable Compute Engine (the Data-Flow Functional Computer, or DFFC) developed at ETCA and dedicated to rapid prototyping of real-time vision automata. The Computer consists of a regular 3D array of very coarse grain application-speciic FPGA called the Field-Programmable Operator Array (FPOA); each FPOA includes 2 Conng-urable(More)
This paper introduces a direction-sensitive and locally reorientable compact binary tree, called the Z ; tree, for representing digital images. A rotation operation is deened on a subset of its node, called square nodes, to spatially reorganize the four grand children of any g i v en square-node. The goal is to adapt the Z ; tree in order to produce a(More)
This paper presents a dataflow functional computer (DFFC) developed at the Etablissement Technique Central de l'Armement (ETCA) and dedicated to real-time image processing. Two types of data-driven processing elements, dedicated respectively to low-level and mid-level processings are integrated in a regular 3D array. The design of the DFFC relies on a close(More)