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Enhanced Retrieval and Browsing in the IMOTION System

Rossetto, Luca and Giangreco, Ivan and Tănase, Claudiu and Schuldt, Heiko and Dupont, Stéphane and Seddati, Omar. (2017) Enhanced Retrieval and Browsing in the IMOTION System. In: Proceedings of the 23rd International Conference on Multimedia Modeling. Cham, pp. 469-474.

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Official URL: http://edoc.unibas.ch/51978/

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Abstract

This paper presents the IMOTION system in its third version. While still focusing on sketch-based retrieval, we improved upon the semantic retrieval capabilities introduced in the previous version by adding more detectors and improving the interface for semantic query specication. In addition to previous year's system, we increase the role of features obtained from Deep Neural Networks in three areas: semantic class labels for more entry-level concepts, hidden layer activation vectors for query-by-example and 2D semantic similarity results display. The new graph-based result navigation interface further enriches the system's browsing capabilities. The updated database storage system ADAMpro designed from the ground up for large scale multimedia applications ensures the scalability to steadily growing collections.
Faculties and Departments:05 Faculty of Science > Departement Mathematik und Informatik > Informatik > Datenbanken (Schuldt)
UniBasel Contributors:Schuldt, Heiko and Rossetto, Luca and Giangreco, Ivan and Tanase, Claudiu-Ioan
Item Type:Conference or Workshop Item, refereed
Conference or workshop item Subtype:Conference Paper
Publisher:Springer
ISBN:978-3-319-51810-7
e-ISBN:978-3-319-51811-4
Series Name:Lecture Notes in Computer Science
Issue Number:10132
Note:Publication type according to Uni Basel Research Database: Conference paper
Identification Number:
Last Modified:26 Apr 2017 12:28
Deposited On:26 Apr 2017 12:28

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