Web contains a vast amount of data, which are accumulated, studied, and utilized by a huge
number of users on a daily basis. A substantial amount of data on the Web is available in an …

Color, texture and shape information have been the primitive image descriptors in content
based image retrieval systems. This paper presents a novel framework for combining all the …

The first and the most critical stage in VLSI layout design is the placement, the background
of which is the rectangle packing problem: Given many rectangular modules of arbitrary size …

An approach to knowledge-assisted semantic video object detection based on a multimedia
ontology infrastructure is presented. Semantic concepts in the context of the examined …

In the current era of digital communication, the use of images is growing exponentially since
they are one of the best ways of expressing, sharing and memorizing knowledge. In fact …

Color, texture and shape information have been the primitive image descriptors in content
based image retrieval systems. This paper presents a novel framework for combining all the …

This paper aims to develop a vision-based driver assistance system for scene awareness
using video frames obtained from a dashboard camera. A saliency image map is devised …

In this paper, the authors have presented a novel content-based image retrieval (CBIR)
scheme based on the combination of color, shape, and texture visual image features …

To ensure access to growing video collections, annotation is becoming more and more
important using background knowledge in the form of ontologies or thesauri is a way to …

This paper presents an original approach for the symbol grounding problem involved in
semantic image interpretation, ie the problem of the map** between image data and …