Digital photos are an important aspect of the modern multimedia experience. The contributions of online collaborative communities can now be leveraged for the task of automated image annotation. We present a web tool, SpiritTagger, which suggests tags for a user’s photo provided the location where it was taken. We accomplish this on a world scale by mining data from nearly 1.5 million geo-refer...

Automatic image annotation has been intensively studied for content-based image retrieval recently. In this paper, we propose a novel approach to automatic image annotation based on two key components: (a) an adaptive visual feature representation of image contents based on matching pursuit algorithms; and (b) an adaptive two-level segmentation method. They are used to address the important iss...

Due to the increasing use of digital medical images, a need exists to develop an approach for automatic image annotation, which provides textual labels for images. Thus added labels can be used to access images using textual queries. Automatic image annotation can be separated into two individual tasks: feature extraction and image classification. In this paper, the authors present feature extr...

This thesis addresses the problems of automatic image annotation (AIA) for the purpose of image indexing & retrieval in an Annotation Based Image Retrieval (ABIR) system. Specifically, we study different models of image representation in the AIA area. Up to our knowledge, nobody has tried to combine the following approaches for image representation: region-based approach and saliency-based appr...

This paper describes an ongoing project which seeks to contribute to a wider understanding of the realities of bridging the semantic gap in visual image retrieval. A comprehensive survey of the means by which real image retrieval transactions are realised is being undertaken. An image taxonomy has been developed, in order to provide a framework within which account may be taken of the plurality...

Improving the Accuracy of Global Feature Fusion Based Image Categorisation p. 1 Stopping Region-Based Image Segmentation at Meaningful Partitions p. 15 Semantic Multimedia Annotation I Hierarchical Long-Term Learning for Automatic Image Annotation p. 28 LSA-Based Automatic Acquisition of Semantic Image Descriptions p. 41 Domain-Restricted Generation of Semantic Metadata from Multimodal Sources ...

1Research Scholar, Bharathiar University, Coimbatore 641 046, Tamil Nadu 2Department of MCA, BannariAmman Institute of Technology, Erode 638401, Tamil Nadu, India 3Department of IT, Bannariamman Institute of Technology, Erode 638401, Tamil Nadu, India ------------------------------------------------------------***-----------------------------------------------------------Abstract Image Annotati...

The great interest in research on content – based image retrieval has covered the way for a large number of new techniques and systems. The current decade related to image retrieval and automated image annotation, spanning 120 references key contributions are discussed in this paper. We terminate with a study on the trends in volume and impact of publications in field with respect to venues/ jo...

With the rapid development of Internet technologies, distance education has become a popular educational mode. In this paper, the authors propose an online image automatic annotation distance education system, which could effectively help children learn interrelations between image content and corresponding keywords. Image automatic annotation is a significant problem in image retrieval and ima...

Content-based image retrieval faces a vital problem, namely “semantic gap” that exists between low level features and semantic concept. In order to solve this problem, image automatic annotations that allow users to access a large image database with textual queries are put forward. In this paper, the main study concentrates on an automatic image annotation method based on vector quantization (...