Close Clustering Based Automated Color Image Annotation

Automatic Image Annotation Based on Dominant Color and GLCM using Fuzzy c means Clustering

With the detonative growth of the digital technologies in the web large amount of visual data are created and stored. The majority of image available on the web have little or no metadata associated with it describing the semantic concept associated with the images. There is a need of efficient and effective technique to find visual information on demand.One of the promising approach to enhance...

Color, texture and shape descriptor fusion with Bayesian network classifier for automatic image annotation

Due to the large amounts of multimedia data prevalent on the Web, Some images presents textural motifs while others may be recognized with colors or shapes of their content. The use of descriptors based on one’s features extraction method, such as color or texture or shape, for automatic image annotation are not efficient in some situations or in absence of the chosen type. The proposed approac...

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

Automated annotation of natural images using an extended annotation model

Automated annotation of digital images remains a highly challenging task being used for indexing, retrieving, and understanding of large collections of image data. This paper presents an original extension of an image annotation model using an object oriented approach. The proposed model is an extension of an efficient annotation model called Cross Media Relevance Model. Image’s regions are des...

Scalable Image Annotation by Summarizing Training Samples into Labeled Prototypes

By increasing the number of images, it is essential to provide fast search methods and intelligent filtering of images. To handle images in large datasets, some relevant tags are assigned to each image to for describing its content. Automatic Image Annotation (AIA) aims to automatically assign a group of keywords to an image based on visual content of the image. AIA frameworks have two main sta...

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...