Valuable information can be hidden in images, however, few research discuss data mining on them. Image retrieval means searching, browsing and retrieving images from image databases. There are two different methodologies for image retrieval i.e. text based image retrieval and content based image retrieval. Former one is obsolete. In latter one many visual features like texture, size, intensitie...

Search re-ranking is considered a typical thanks to boost retrieval exactitude. The matter yet isn't trivial particularly once there square measure multiple options or modalities to be thought-about for search, which frequently happens in image and video retrieval. This paper proposes a replacement re-ranking algorithmic program, named data processing based mostly on re-ranking, that reinforces...

The explosive increase and ubiquitous accessibility of visual data on the Web have led to the prosperity of research activity in image search or retrieval. With the ignorance of visual content as a ranking clue, methods with text search techniques for visual retrieval may suffer inconsistency between the text words and visual content. Content-based image retrieval (CBIR), which makes use of the...

Although Content Based Image Retrieval (CBIR) has attracted large amount of research interest, the difficulties in querying by an example propel ultimate users towards text queries. Searching by text queries yields more effective and accurate results that meet the needs of the users while at the same time preserves their familiarity with the way traditional search engines operate. However, text...

Searching for an image in a database is important different applications; hence, many algorithms have been proposed to identify the contents of image. In some applications, but not all, identifying content as whole can offer good results. object inside more most applications than whole. Therefore, studies focused on segmenting into small sub-images and identified their contents. view concepts h...

This paper investigates a framework for Secure Retrieval and Dissemination of Information (text and image) in Distributed and Wireless Environments (SECRET_DIDWE). Our research focuses on the evaluation and integration of Information Retrieval techniques. Text Retrieval and Content Based Image Retrieval techniques are mainly studied for use in medical environment. The framework is based on a wi...

Content based image retrieval is one of the extremely standard and growing research areas of the DIP (Digital Image Processing). Most of the offered image search tools, for instance Google Images and Yahoo! Image search, are centered on textual annotation of digital images. In these search techniques/tools, digital images are manually annotated with keywords and then recovered with the help of ...

Satellite images are numerous and weakly exploited: it is urgent to develop an efficient and fast indexing/retrieval system to easy their access. Content-Based Image Retrieval systems (CBIR) are known to provide an efficient framework. We thus propose to associate a CBIR approach with text-based queries to adapt to these big (12000×12000 pixels) and semantically rich images. The presented syste...