Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation
نویسندگان
چکیده
This paper describes a simple framework for automatically annotating images using non-parametric models of distributions of image features. We show that under this framework quite simple image properties such as global colour and texture distributions provide a strong basis for reliably annotating images. We report results on subsets of two photographic libraries, the Corel Photo Archive and the Getty Image Archive. We also show how the popular Earth Mover’s Distance measure can be effectively incorporated within this framework.
منابع مشابه
Image indexing and retrieval using automated annotation
Searching digital information archives on the Internet and elsewhere has become a significant part of our daily lives. Amongst the rapidly growing body of information there are a vast number of digital images. The task of automated image retrieval is complicated by the fact that many images do not have adequate textual descriptions. Retrieval of images through analysis of their visual content i...
متن کاملTags 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...
متن کاملImperial College and Johns Hopkins University at TRECVID
We describe our experiments for the high-level feature extraction and search tasks. For the search task, we tested the system we have used in previous years, which encapsulates content based image search, image browsing, automated image annotation and named entity extraction. For the feature task we apply the nonparametric density estimation model and the HMM-based concept specific image model.
متن کاملAn Automated MR Image Segmentation System Using Multi-layer Perceptron Neural Network
Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...
متن کاملFuzzy 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,...
متن کامل