By Topic

Search and Retrieval of Rich Media Objects Supporting Multiple Multimodal Queries

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Daras, P. ; Centre for Res. & Technol. Hellas, Inf. & Telematics Inst., Thessaloniki, Greece ; Manolopoulou, S. ; Axenopoulos, A.

In this paper, a novel framework for rich-media object retrieval is described. The searchable items are media representations consisting of multiple modalities, such as 2-D images, 3-D objects and audio files, which share a common semantic concept. The proposed method utilizes the low-level descriptors of each separate modality to construct a new low-dimensional feature space, where all media objects can be mapped irrespective of their constituting modalities. While most of the existing state-of-the-art approaches support queries of one single modality at a time, the proposed one allows querying with multiple modalities simultaneously, through efficient multimodal query formulation, and retrieves multimodal results of any available type. Finally, a multimedia indexing scheme is adopted to tackle the problem of large scale media retrieval. The present framework proposes significant advances over existing methods and can be easily extended to involve as many heterogeneous modalities as possible. Experiments performed on two multimodal datasets demonstrate the effectiveness of the proposed method in multimodal search and retrieval.

Published in:

Multimedia, IEEE Transactions on  (Volume:14 ,  Issue: 3 )