Content-Based Image Retrieval in Digital Libraries of Art Images Utilizing Colour Semantics

Abstract. The paper presents the architecture of experimental Content-Based Image Retrieval (CBIR) system APICAS ("Art Painting Image Colour Aesthetics and Semantics"). This system has been developed within a doctoral thesis which aims to provide a suite of specialized tools for CBIR within a digital library of art images. The high-level architecture suggested in this work takes OAIS as a basis and adds a designated layer to it allowing CBIR functions to be used both within ingest and access to the digital library

SEMANTIC AND ABSTRACTION CONTENT OF ART IMAGES

In this paper the semantic and abstraction content of art images is studied. Different techniques for search in art image repositories are analyzed and new ones are proposed. The content-based retrieval process integrates the search on different components, linked in XML structures. Some experiments over 200 paintings of six Israel contemporary artists are done and analyzed

Модели, методи и алгоритми за създаване на система за управление на мултимедийно съдържание

ИМИ-БАН, 24.09.2012 г., присъждане на образователна и научна степен "доктор" на Янислав Панайотов Желев по научна специалност 01.01.12 информатика. [Zhelev Yanislav Panayotov; Желев Янислав Панайотов