In this paper, a novel approach to image indexing using content-based watermarking is presented. The proposed system uses color image segmentation and watermarking in order to facilitate content-based indexing, retrieval and manipulation of digital images and image regions. A novel segmentation algorithm is applied on reduced images and the resulting segmentation mask is embedded in the image u...

In this paper, we present a new and effective image indexing technique that extracts features directly from DCT domain. Our proposed approach is an object-based image indexing. For each block of size 8*8 in DCT domain a feature vector is extracted. Then, feature vectors of all blocks of image using a kmeans algorithm is clustered into groups. Each cluster represents a special object of the imag...

Introduction This communication presents the problem statement, the methodology and the preliminary results of a research project aiming to compare two different approaches for indexing images, namely: traditional image indexing with the use of controlled vocabularies, or free image indexing using uncontrolled vocabulary. The experiment intends to measure their respective performance for image ...

-Markovsemantic indexing algorithm based on the controlled Markov chain modeling framework. Controlled Markov chain models are used to describe the temporal evolution of low-level visual descriptors extracted from the semantic indexing model. Propose a semantic indexing algorithm which uses both text and image retrieval system.The entire user Queries selected by randomly. An image retrieval sys...

This paper introduces and studies new indexing techniques for content-based queries in images databases. Indexing is the key to providing sophisticated, accurate and fast searches for queries in image data. This research describes a new indexing approach, which depends on linear modeling of signals, using bases for modeling. A basis is a set of chosen images, and modeling an image is a least-sq...

The paper proposes an indexing method for fast content-based retrieval in an image repository. The method is based on a metric-indexing strategy that avoids to calculate the distance from the query to all the images in the repository. The proposed indexing method is tested on a pathology image collection comparing its performance against sequential scaning indexing. The results show that the me...

An entirely novel approach to image indexing is presented using content-based watermarking. The proposed system uses colorimage segmentation and watermarking in order to facilitate content-based indexing, retrieval and manipulation of digital images and image regions. A novel segmentation algorithm is applied on reduced images and the resulting segmentation mask is embedded in the image using w...

ABSTRACT. Image and video indexing have become important with recent increase in digital image collections. A majority of proposed indexing techniques in the literature are based on features extracted from the entire image. In this paper, images are segmented by the K-mean clustering algorithm in order to allow searching, and retrieving at region level. Further, the regions are classified into ...