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Tags have been demonstrated to be effective and efficient for organizing and searching social image content. However, these human-provided keywords are far from a comprehensive description of the image content, which limits their effectiveness in tag-based image search. In this paper, we propose an automatic scheme
events in soccer video using on-screen texts. The proposed approach is completely automatic and independent to languages since it recommends the users to query events by keywords in image-form which are agents of clusters of stationary on-screen textboxes which are localized and extracted properly by a novel mechanism
user aims, as query without proper intent processing retrieves irrelevant information pattern discovery has ability to solve in limitations of keyword and image disambiguates with phrase learning ie, pattern discovery. Today's search machines are based on ranking model eliminating Boolean retrieval constraint and boosting
photographs show that our approach gives better results in terms of recall and precision measures than state-of-the-art frameworks loosely coupling keyword-based query modules and relevance feedback processes operating on low-level features
In this paper we describe a system for storing and retrieving digital images from personal collections. The images can either be manually annotated with a set of keywords chosen by the owner of the collection, or keywords can be automatically inferred from the time and location stamps associated with the image and the
This paper presents the image retrieval results obtained by the Flickr website based on using the combination of keywords and tags for retrieving images. The aim of this paper is to improve the accuracy of the image search results returned by an image search engine, Flickr. In order to improve the retrieval
the actual content of the image. The term dasiacontentpsila in this context might refer to colors, shapes, textures, or any other information that can be derived from the image itself. Without the ability to examine image content, search must rely on metadata such as captions or keywords, which may be laborious or
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