Semantic Notation and Retrieval in Art and Architecture Image Collections

نویسندگان

  • Peter L. Stanchev
  • David Green
  • Boyan Dimitrov
چکیده

In this paper, we analyze various methods used for semantic annotation and search in a collection of art and architecture images. We discuss the Art and Architecture Thesaurus, WordNet, ULAN and Iconclass ontology. Systems for searching and retrieval art and architecture image collections are presented. We explore if the MPEG 7 descriptors are useful for art and architecture image annotations. For illustrations we use images from Antoni Gaudi architecture and Claude Monet paintings.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Semiautomatic 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 کامل

The study of Cypress appearance in the Persian art and architecture in the light of Gestalt theory

The impetus behind this s‌tudy is to discover the aes‌thetic and semantic patterns of the cypress tree and show how this element has been employed by Iranian artis‌ts. The ques‌tion of this research is how a cons‌tant element (the cypress tree) has been transfigured in different Iranian arts. Four categories of miniature, carpet, textile and architecture decoration. The present research is qual...

متن کامل

Relevance Feedback in Content-Based Image Retrieval

Content-Based Image Retrieval (CBIR) systems are required to effectively harness information from ubiquitous image collections. Despite intense research efforts by the multidisciplinary CBIR community since early 1990s, apparently there is a mismatch between these advances and the one that is truly required to bring success to CBIR in the commercial market place. In this paper we provide an ove...

متن کامل

Using Text Surrounding Method to Enhance Retrieval of Online Images by Google Search Engine

Purpose: the current research aimed to compare the effectiveness of various tags and codes for retrieving images from the Google. Design/methodology: selected images with different characteristics in a registered domain were carefully studied. The exception was that special conceptual features have been apportioned for each group of images separately. In this regard, each group image surr...

متن کامل

Supporting Semantic Image Annotation and Search

In this article we discuss an application scenario for semantic annotation and search in a collection of art images. This application shows that background knowledge in the form of ontologies can be used to support indexing and search in image collections. The underlying ontologies are represented in RDF Schema and are based on existing data standards and knowledge corpora, such as the VRA Core...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • JDIM

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2005