Paper Info
Title
Efficient Multimedia Information Retrieval with Query Level Fusion.
Abstract
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.
Year
DOI
Venue
2015
10.1007/978-3-319-26154-6_28
FLEXIBLE QUERY ANSWERING SYSTEMS 2015
Keywords
Field
DocType
Multimodal query,Query level fusion,Multimedia database,Cross-modal retrieval
Query optimization,Web search query,Query language,Human–computer information retrieval,Multimedia database,Information retrieval,Query expansion,Computer science,Multimedia information retrieval,Concept search
Conference
Volume
ISSN
Citations 
400
2194-5357
1
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Saeid Sattari171.43
Adnan Yazici264956.29