Contour or boundary descriptors may be used in contentbased image retrieval to effectively identify appropriate images when image content consists primarily of a single object of interest. The registration of object contours for the purposes of comparison is complicated when the objects of interest are characterized by open contours and when reliable feature points for contour alignment are abs...

Compressed domain image retrieval is going to play an increasingly important role in the future. It allows the calculation of image features and hence content-based image retrieval (CBIR) to be performed directly on the compressed data without the need of decoding it beforehand. The Colour Visual Pattern Image Coding (CVPIC) technique represents a compression algorithm where the compressed form...

In this survey we will present the basic idea behind the contentbased image retrieval systems. We will present some low-level feature, techiques for matching similarity and we will conclude by giving basic ideas on semantic.

We have generalised a class of similarity measures that are designed to address the problems associated with indexing high-dimensional feature space. The features are stored and indexed component wise. For each dimension we retrieve only those objects close the query point and then apply a local distance function to this subset. Thus we can dramatically reduce the amount of data looked at. We h...

With the increasing amount of available multimedia data, efficient systems for searching and retrieving relevant AV documents are needed. Since keyword based indexing is very time consuming and inefficient due to linguistic and semantic ambiguities, content based multimedia retrieval systems have been proposed, that search and retrieve AV documents based on audio and visual features. While cont...

We describe an interactive system for content based image retrieval. The system presents the user with 15 randomly selected images from the database. The user grades the images with one of five possible grades (YES, yes, neutral, no, NO) according to what he is looking for. The system returns the first 15 images with the highest probability of YES grade. The attributes used are a combination of...

From the past decades, content based image retrieval has been a hot trend in research and development. The key reason behind this is increasing need of multimedia data on internet. As the content based image retrieval techniques outperforms because of its usability over syntactical features and their content based comparisons. But that is more promising to work in direction of finding more accu...

In content-based image retrieval systems the most efficient and simple searches are the color-based searches, which can be realized in several color spaces and by several color descriptors. In this paper the possibility of image classification using certain color descriptors is examined, and the usage of different color spaces and descriptors depending on the image database domain is presented.

A framework for combining object detection techniques with a content-based image retrieval(CBIR) system is discussed. As an example, a special CBIR system which focuses on human faces as foreground and decides the similarity of images based on background features is presented. This system may be useful in automatically generating albums from consumer photos.