with the increase of the volume of information and the progress in technology, the deficiency of traditional algorithms for fast information retrieval becomes more clear. when large volumes of data are to be handled, the use of neural network as an artificial intelligent technique is a suitable method to increase the information retrieval speed. neural networks present a suitable representation...

Most index pruning techniques eliminate terms from an index on the basis of the contribution of those terms to the content of the documents. We present a novel syntactically-based index pruning technique, which uses exclusively shallow syntactic evidence to decide upon which terms to prune. This type of evidence is document-independent, and is based on the assumption that, in a general collecti...

Video quality retrieval is an important issue in reconstruction video sequences. The amounts of transmission bitstreams are very large to achieve high video quality reconstruction. Thus, high video quality retrieval is still a challenge problem. The aim of this paper is to reduce the transmission bitstreams and raise reconstruction video quality. In this paper, we propose a scalable block compe...

Content based image retrieval (CBIR) is an effective method of retrieving images from large image resources. CBIR is a technique in which images are indexed by extracting their low level features like, color, texture, shape, and spatial location, etc. Effective and efficient feature extraction mechanisms are required to improve existing CBIR performance. This paper presents a novel approach of ...

The separated instrument particularly a broken file leads to metallic obstruction, in the root canal and blocks thorough cleaning and shaping procedure. When attempts of bypassing such a fragment go in vain, it should be retrieved by mechanical devices. Masserann Kit is one such device for orthograde removal of intracanal metallic obstructions. This clinical case demonstrates usage of Masserann...

This paper proposes a novel image retrieval algorithm using local color feature of image sub-block and global texture and shape features. Image sub-blocks are identified by partitioning the image into blocks. Color Texture and shape are the low level image descriptor in Content Based Image Retrieval. These low level image descriptors are used for image representation and retrieval in CBIR. In t...

A color image adaptive watermarking scheme is proposed. To increase the robustness and perceptual invisibility, a model called ICPM (image complexity and perceptibility model) is proposed to analyze the different sub-blocks’ properties. A novel technique is proposed for the watermark casting and retrieval by utilizing the properties of the image itself. Experimental results demonstrate the robu...

We investigate the connection between part of speech (POS) distribution and content in language. We define POS blocks to be groups of parts of speech. We hypothesise that there exists a directly proportional relation between the frequency of POS blocks and their content salience. We also hypothesise that the class membership of the parts of speech within such blocks reflects the content load of...

We are analyzing storage structures for two and three dimensional raster type data which are used for feature retrieval The features are one two or three dimensional objects with regular outlines like a rectangle or a prism The features could be parts of a map or image an area of special interest for searching after oil a sequence of ultra sound images and so on The storage medium is magnetic d...