In this study, we propose two descriptors on color and texture for content based segmentation. The descriptors are called “the most similar colors in the same neighborhood” and “the most similar textures in the same neighborhood“, respectively. These descriptors are applied on a multi-level segmentation algorithm proposed by the authors of this study [1]. The segmentation algorithm decomposes t...

The calculation of local texture characteristics of wood boards is considered. An automated process which chooses the boards making up a wood panel based on criteria of aesthetic compatability of texture between the boards needs to have access to this information. Algorithms producing reduced-size summary images of wood boards describing the distribution of the vein orientation and inter-vein s...

Image retrieval can be dealt by combining standard descriptors, such as those of MPEG-7, which are defined independently for each visual cue (e.g. SCD or CLD for Color, HTD for texture or EHD for edges). A common problem is to combine similarities coming from descriptors representing different concepts in different spaces. In this paper we propose a color texture description that bypasses this ...

The report is organized as follows: section 2 presents a description of texture mapping and a justification for using a cache dedicated to texturing. Section 3 describes the basic texture caching architecture. The rest of the report review the successive improvements to this basic architecture found in the literature: multilevel caching (section 4), prefetching (section 5), parallel texture cac...

We introduce a novel texture description scheme and demonstrate it with our fast similarity search technique for content-based retrieval and navigation applications. The texture representation uses a combination of edge and region statistics. It is compared with the Multi-Resolution Simultaneous Auto-Regressive Model and Statistical Geometrical Features techniques using the entire Brodatz textu...

An important issue in object-based image coding is the efficient description of image segments having an arbitrary shape. This paper outlines a solution to this task using basic principles of transform image coding that are generalized for the case of arbitrarily shaped image segments. The texture inside each region is successively approximated using two-dimensional (2-D) shape-independent basi...

In modern multimedia applications, scalability is a key functionality that allows transmission and representation of contents in a wide variety of networks and terminals. In order to obtain full advantage of scalability features, techniques for detailed description and transformation of multimedia contents are needed. In this paper, the Bitstream Syntax Description Language is used for describi...

A general texture description model is proposed, using topology related attributes calculated from Local Binary Patterns (LBP). The proposed framework extends and generalises existing LBP-based descriptors like LBP-rotation invariant uniform patterns (LBP), and Local Binary Count (LBC). Like them, it allows contrast and rotation invariant image description using more compact descriptors than cl...

Appearance description is a relevant field in computer vision that enables object recognition in domains as re-identification, retrieval and classification. Important cues to describe appearance are colors and textures. However, in real cases, texture detection is challenging due to occlusions and to deformations of the clothing while person’s pose changes. Moreover, in some cases, the processe...

Residential areas show plenty of texture information on high resolution remotely sensed imagery. Appropriate description about this texture information for discriminating residential class and its background is a key problem for improving the classification results. Method for selecting proper texture parameters is presented in this paper. Based on the analysis of residential texture, grey leve...