introduction Content-based image retrieval (CBIR) has wide applications in public life. Either from a static image database or from the Web, one can search for a specific image, generally browse to make an interactive choice, and search for a picture to go with a broad story or to illustrate a document. Although CBIR has been well studied, it is still a challenging problem to search for images ...

The correlation between keywords has been exploited to improve Automatic Image Annotation(AIA). Differing from the traditional lexicon or training data based keyword correlation estimation, we propose using Web-scale image semantic space learning to explore the keyword correlation for automatic Web image annotation. Specifically, we use the Social Media Web site: Flickr as Web scale image seman...

A novel approach to semi-automatically and progressively annotating images with keywords is presented. The progressive annotation process is embedded in the course of integrated keyword-based and content-based image retrieval and user feedback. When the user submits a keyword query and then provides relevance feedback, the search keywords are automatically added to the images that receive posit...

Labeling the semantic content of images is a problem known as image annotation. Automatic image annotation is the process by which a computer system automatically assigns metadata, in the form of captions or keywords, to a digital image. Automatic image annotation often uses computer vision techniques to extract meaningful cues from the image content. It can be applied in image retrieval system...

With the detonative development of internet technologies in the web huge amount of images are available on the web. Large amount of research has been carried out on image retrieval since last few years. There is need for efficient and viable procedure to find visual information on demand. Recent research shows that there is semantic gap between low level features of image and semantic concepts ...

Annotation of images is crucial for enabling keyword based image search. However, the enormous amount of available digital photos makes manual annotation impractical, and requires methods for automatic image annotation. This paper describes two complementary approaches to automatic annotation of images depicting some public attraction. The LoTagr system provides annotation information for alrea...