Title
Fusion vs. two-stage for multimodal retrieval
Abstract
We compare two methods for retrieval from multimodal collections. The first is a score-based fusion of results, retrieved visually and textually. The second is a two-stage method that visually re-ranks the top-K results textually retrieved. We discuss their underlying hypotheses and practical limitations, and contact a comparative evaluation on a standardized snapshot of Wikipedia. Both methods are found to be significantly more effective than single-modality baselines, with no clear winner but with different robustness features. Nevertheless, two-stage retrieval provides efficiency benefits over fusion.
Year
Venue
Keywords
2011
ECIR
clear winner,single-modality baselines,multimodal collection,two-stage method,different robustness feature,two-stage retrieval,score-based fusion,comparative evaluation,multimodal retrieval,practical limitation,efficiency benefit
Field
DocType
Volume
Data mining,Information retrieval,Computer science,Fusion,Robustness (computer science),Snapshot (computer storage)
Conference
6611
ISSN
Citations 
PageRank 
0302-9743
1
0.40
References 
Authors
7
3
Name
Order
Citations
PageRank
Avi Arampatzis144339.38
Konstantinos Zagoris223117.12
Savvas A. Chatzichristofis381044.88