Efficient multimedia information retrieval with query level fusion

Saeid Sattari, Adnan Yazici

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Multimedia data particularly digital videos that contain various modalities (visual, audio, and text) are complex and time consuming to deal with. Therefore, managing a large volume of multimedia data reveals the necessity for efficient methods for modeling, processing, storing and retrieving such data. In this study, we investigate how to efficiently manage multimedia data, especially video data. In addition, we discuss various flexible query types including the combination of content as well as concept-based queries that provide users with the ability to perform multimodal query. Furthermore, we introduce a fusion-based approach at the query level to improve query retrieval performance of the multimedia database. Our experimental tests show a significant improvement in the query retrieval performance.

Original languageEnglish
Title of host publicationFlexible Query Answering Systems 2015 - Proceedings of the 11th International Conference, FQAS 2015
EditorsOlivier Pivert, Adnan Yazici, Henrik Larsen, Maria Amparo Vila, Troels Andreasen, Henning Christiansen, Janusz Kacprzyk, Slawomir Zadrozny, Guy De Tre, Gabriella Pasi
PublisherSpringer Verlag
Number of pages13
ISBN (Print)9783319261539
Publication statusPublished - Jan 1 2016
Event11th International Conference on Flexible Query Answering Systems, FQAS 2015 - Cracow, Poland
Duration: Oct 26 2015Oct 28 2015

Publication series

NameAdvances in Intelligent Systems and Computing
ISSN (Print)2194-5357


Conference11th International Conference on Flexible Query Answering Systems, FQAS 2015


  • Crossmodal Retrieval
  • Multimedia database
  • Multimodal query
  • Query level fusion

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science(all)

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