Unified hybrid image retrieval system with continuous relevance feedback

Kaliciak L., Myrhaug H., Goker A.

21st World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2017, Florida, Amerika Birleşik Devletleri, 8 - 11 Temmuz 2017, cilt.1, ss.275-280, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 1
  • Basıldığı Şehir: Florida
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Sayfa Sayıları: ss.275-280
  • Anahtar Kelimeler: Hybrid models, Information fusion, Intelligent user interfaces, Multimedia retrieval, Relevance feedback
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Hayır

Özet

In this paper, we present a unified hybrid image retrieval system consisting of the following components: various visual features and their combinations, combination of visual and textual feature spaces, combination of visual and textual feature spaces in the context of search refinement, and interactive user interface with hybrid relevance feedback, exploratory search, query history, relevance bar, and positive and negative results panels. In the paper we also introduce two novel hybrid spinoff models and describe the new continuous relevance feedback framework that allows us to move away from graded relevance and shows the relationships between feedback images.