A Semantic Distance Based Nearest Neighbor Method for Image Annotation

Fuzzy Neighbor Voting for Automatic Image Annotation

With quick development of digital images and the availability of imaging tools, massive amounts of images are created. Therefore, efficient management and suitable retrieval, especially by computers, is one of themost challenging fields in image processing. Automatic image annotation (AIA) or refers to attaching words, keywords or comments to an image or to a selected part of it. In this paper,...

Tags Re-ranking Using Multi-level Features in Automatic Image Annotation

Automatic image annotation is a process in which computer systems automatically assign the textual tags related with visual content to a query image. In most cases, inappropriate tags generated by the users as well as the images without any tags among the challenges available in this field have a negative effect on the query's result. In this paper, a new method is presented for automatic image...

Improving image annotation via ranking-oriented neighbor search and learning-based keyword propagation

Automatic image annotation plays a critical role in modern keyword-based image retrieval systems. For this task, the nearest-neighbor–based scheme works in two phases: first, it finds the most similar neighbors of a new image from the set of labeled images; then, it propagates the keywords associated with the neighbors to the new image. In this article, we propose a novel approach for image ann...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models

Combination of Complementary Features for Automatic Image Annotation

Image annotation is a method for representing an image with a suitable keyword closer to its semantic concept. Automatically assigning relevant text keywords to image is an important problem. Many algorithms and combination of different features have been proposed in the past and achieved good performance. Efforts have focused upon many other fields and some predefined set of features in the ar...