Content-based image retrieval General scheme of content-based image retrieval Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a recent scientific overview of the CBIR field). Content-based image retrieval is opposed to traditional concept-based approaches (see concept-based image indexing). History The term "content-based image retrieval" seems to have originated in 1992 when it was used by T. The earliest commercial CBIR system was developed by IBM and was called QBIC (Query by Image Content). Technical progress The interest in CBIR has grown because of the limitations inherent in metadata-based systems, as well as the large range of possible uses for efficient image retrieval. CBIR techniques Query techniques Color Shape
How to Search Images Online –Search Engine Journal Image search is evolving rapidly. Today the machine understands much more about images than just a year ago: it can read the text on the image, see its colors and classify it based on its form, shape and textures. So which advanced image search methods can we use today? Image search based on image content (face / landscape / photo / product image search) Face search has been a hot topic recently. Exalead has become known for integrating facial recognition technology but it still lacks some accuracy. Image search based on color Picitup allows to set color preferences (choose among 18 colors to set the search dominating palette);PicSearch and Snap.com recognize between colorful and black-and-white images.Etsy searches only inside its own product database but its color-based search engine is both fun and pleasure to play with. Image search based on similarity Recently launched Tineye.com (registration required) searches for similar images online.
imgSeek Quick Screen Capture tool. Take Screenshots, Edit and Share them imense® Shop by Color 9 OCR gratuits, en ligne et sans logiciel L’OCR c’est la reconnaissance optique des caractères. Si vous scannez un texte, le résultat vous arrivera sous forme de photo, il va donc falloir que vous passiez par un logiciel OCR qui transformera ces photos en texte. Ce texte pourra ensuite être modifié plus facilement via un logiciel de traitement de teste. Voilà une sélection de 12 sites OCR gratuits en ligne. (Billet mis à jour avec l’arrivée du service ocr.space) Ce service est réellement simple, rapide et surtout ne nécessite pas de création de compte, ni d’envoi par email. L’avantage du service OCR de google drive ou appelons le aussi Google doc, c’est qu’en plus de la reconnaissance de caractères, on vous propose de sauvegarder le fichier et ensuite, de pouvoir faire une recherche pour retrouver le document en question. Selon le blogue de blogs.windows.com il est possible de convertir les fichiers photos en texte via un le service skydrive. Newocr.com (simple) Onlineocr.net (sans fioriture) Abbyyonline.com ocrterminal versions
Image retrieval The first microcomputer-based image database retrieval system was developed at MIT, in the 1990s, by Banireddy Prasaad, Amar Gupta, Hoo-min Toong, and Stuart Madnick. A 2008 survey article documented progresses after 2007. Search methods Image search is a specialized data search used to find images. To search for images, a user may provide query terms such as keyword, image file/link, or click on some image, and the system will return images "similar" to the query. Image meta search - search of images based on associated metadata such as keywords, text, etc.Content-based image retrieval (CBIR) – the application of computer vision to the image retrieval. Data Scope It is crucial to understand the scope and nature of image data in order to determine the complexity of image search system design. Evaluations There are evaluation workshops for image retrieval systems aiming to investigate and improve the performance of such systems. See also References
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