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 Arampatzis | 1 | 443 | 39.38 |
Konstantinos Zagoris | 2 | 231 | 17.12 |
Savvas A. Chatzichristofis | 3 | 810 | 44.88 |