Although color averaging techniques are widely used in content based image retrieval system because of its computational simplicity and effective retrieval, color averaging technique still suffer in identification of different objects which share the same average color information. To overcome this limitation of color averaging technique, a new technique based on block color averaging is propos...

This paper presents a study on classifying music by affective visual information extracted from music videos. The proposed audio-visual approach analyzes genre specific utilization of color. A comprehensive set of color specific image processing features used for affect and emotion recognition derived from psychological experiments or art-theory is evaluated in the visual and multi-modal domain...

In camera-based object recognition and classification, surface color is one of the most important characteristics. However, apparent object color may differ significantly according to the illumination and surface conditions. Such a variation can be an obstacle in utilizing color features. Geusebroek et al.’s color invariants can be a powerful tool for characterizing the object color regardless ...

In the last decade, we have seen a tremendous growth in color and color-based applications within the signal, image and video processing communities. Color is no longer interpreted as an extension of gray scale and is now considered as a key element for a number of image and video processing systems. In particular, color space transforms have played a central role in coding, compression and tra...

Image retrieval is a poor stepchild to other forms of information retrieval (IR). Image retrieval has been one of the most interesting and research areas in the field of computer vision over the last few decades. Content-Based Image Retrieval (CBIR) systems are used in order to automatically index, search, retrieve, and browse image databases. Color and texture features are important properties...

In camera-based object recognition and classification, surface color is one of the most important characteristics. However, apparent object color may differ significantly according to the illumination and surface conditions. Such a variation can be an obstacle in utilizing color features. Geusebroek et al.’s color invariants can be a powerful tool for characterizing the object color regardless ...

Content Based Image Retrieval (CBIR) is a process in which for a given query image similar images will be retrieved based on the image content similarity. Image content refers to its visual features, which are mathematical representations of a digital image. The image retrieval task primarily depends on image feature extraction and similarity measurement between the feature vectors. The perform...

The object tracking by single feature often leads to poor robustness. In this paper, an object tracking algorithm based on multi-features fusion is presented. An adaptive method of choosing object color histogram is presented and the histogram is background weighted in order to get an accurate color model of the object. At meanwhile, then spatiograms feature is applied to obtain spatial layout ...

In the last decade, multiscale techniques for gray-level texture analysis have been intensively used. In this paper, we aim on extending these techniques to color images. We introduce wavelet energy-correlation signatures and we derive the transformation of these signatures upon linear color space transformations. Experiments are conducted on a set of 30 natural colored texture images in which ...

This work presents an approach for color-texture classification of industrial products. An extension of Gray Level Co-occurrence Matrix (GLCM) to color images is proposed. Statistical features are computed from an isotropic Color Co-occurrence Matrix for classification. The following color spaces are used: RGB, HSL and La*b*. New combination schemes for texture analysis are introduced. A compar...