Automatic Image Annotation and Retrieval
نویسنده
چکیده
In this paper, an automatic image annotation and retrieval model is developed base on the intensity invariant approach. The given uncaptioned image is divided into background and foreground images and segmented into regions, which are classified into region types using a variety of features. Firstly, preprocessing stages such as gray-scale converting, noise filtering for image enhancing is processed. After segmentation, calculate the eigenvectors of images and examined the associated word by using database. The various types of images are applied for training and testing. The top words are described for annotated image in result. Manual image annotation is time-consuming, laborious and expensive; so, there has been a large amount of research done on automatic image annotation and retrieval technologies are combined to improve the performance.
منابع مشابه
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,...
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 کاملSemiautomatic Image Retrieval Using the High Level Semantic Labels
Content-based image retrieval and text-based image retrieval are two fundamental approaches in the field of image retrieval. The challenges related to each of these approaches, guide the researchers to use combining approaches and semi-automatic retrieval using the user interaction in the retrieval cycle. Hence, in this paper, an image retrieval system is introduced that provided two kind of qu...
متن کاملComparative Study on Automatic Image Annotation
With the detonative development of internet technologies in the web huge amount of images are available on the web. Large amount of research has been carried out on image retrieval since last few years. There is need for efficient and viable procedure to find visual information on demand. Recent research shows that there is semantic gap between low level features of image and semantic concepts ...
متن کاملImage Annotation and Retrieval- An Overview
Structured knowledge models, such as semantic hierarchies and ontologies, appear to be a way to improve the accuracy of automatic image annotation. It allows modeling many valuable semantic relations between concepts based on image annotation using contextual and spatial relationships. Indeed, these relationships have been proved to be of prime importance for the understanding of image semantic...
متن کامل