Local binary pattern (LBP) operators, which measure the local contrast within a pixel's neighborhood, successfully applied to texture analysis, visual inspection, and image retrieval. In this paper, we recommend a semi blind and informed watermarking approach. The watermark has been built from the original image using Weber Law. The approach aims is to present a high robustness and imperceptibi...

Novel approaches are needed to support content-based retrieval on large-scale geographic image databases. In this paper, we present a new approach termed Keyblock for content-based geographic image retrieval, which is a generalization of the text-based information retrieval technology in the image domain. In this approach, methods for extracting comprehensive geographic image features are provi...

Term-sense ambiguity and the difficulty in translating phrases are the main sources of problem in dictionarybased cross-language information retrieval (CLIR) approaches. We propose a term similarity-based translationphrase identification technique to enhance the retrieval effectiveness of a dictionary-based query translation method. The technique identifies noun-phrases in the target language b...

Image retrieval is a topic where scientific interest is currently high. The important steps associated with image retrieval system are the extraction of discriminative features and a feasible similarity metric for retrieving the database images that are similar in content with the search image. Gabor filtering is a widely adopted technique for feature extraction from the texture images. The rec...

On a wide range of natural language processing and information retrieval tasks, transformer-based models, particularly pre-trained models like BERT, have demonstrated tremendous effectiveness. Due to the quadratic complexity self-attention mechanism, however, such difficulties long documents. Recent works dealing with this issue include truncating documents, in which case one loses potential re...

We describe an approach to information retrieval using a technique which combines two existing well-known information retrieval techniques: traditional vector space retrieval and Latent Semantic Indexing (LSI). The technique described in this paper assigns a query to document similiarity that is a weighted average of the similarity scores obtained by LSI and traditional vector space retrieval. ...

In this paper a wavelet-based logo watermarking scheme is presented. The logo watermark is embedded into all sub-blocks of the LLn sub-band of the transformed host image, using quantization technique. Extracted logos from all sub-blocks are merged to make the extracted watermark from distorted watermarked image. Knowing the quantization step-size, dimensions of logo and the level of wavelet tra...

A data mining system can semi-automatically discover knowledge by mining a large volume of data, but the discovered knowledge is not always novel and interesting to the user. We propose a discovered rule filtering method to filter rules discovered by a data mining system and to produce ones that are novel and interesting to the user by using information retrieval technique. In the method, we ra...

This paper presents an additive watermarking technique for grey scale pictures. It consists in secretly embedding copyright information (a binary code) into the picture without degrading its quality. Those bits are encoded through the phase of Maximal Length Sequences (MLS). MLS are binary sequences with good correlation properties. The result of the autocorrelation is much greater than crossco...

In content-based Image Retrieval (CBIR) application, a large amount of data is processed. Among various low-level features like color, shape and texture, color is an important feature and represented in the form of histogram. It is essential that features required to be coded in such a way that the storage space requirement is low and processing speed is high. In this paper, we propose a method...