Diversification in an image retrieval system based on text and image processing
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IFTENE, Adrian, ALBOAIE, Lenuta. Diversification in an image retrieval system based on text and image processing. In: Computer Science Journal of Moldova, 2014, nr. 3(66), pp. 339-348. ISSN 1561-4042.
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Computer Science Journal of Moldova
Numărul 3(66) / 2014 / ISSN 1561-4042 /ISSNe 2587-4330

Diversification in an image retrieval system based on text and image processing
CZU: 004.932:519.712

Pag. 339-348

Iftene Adrian, Alboaie Lenuta
 
Alexandru Ioan Cuza University of Iaşi
 
Disponibil în IBN: 20 noiembrie 2014


Rezumat

In this paper we present an image retrieval system created within the research project MUCKE (Multimedia and User Credibility Knowledge Extraction), a CHIST-ERA research project where UAIC1 is one of the partners2. Our discussion in this work will focus mainly on components that are part of our image retrieval system proposed in MUCKE, and we present the work done by the UAIC group. MUCKE incorporates modules for processing multimedia content in di®erent modes and languages (like English, French, German and Romanian) and UAIC is responsible with text processing tasks (for Romanian and English). One of the problems addressed by our work is related to search results diversification. In order to solve this problem, we first process the user queries in both languages and secondly, we create clusters of similar images.

Cuvinte-cheie
image retrieval, search diversi¯cation, text pro- cessing and image processing.