The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
Image ranking and retrieval based on multi-attribute queries
Abstract
We propose a novel approach for ranking and retrieval of images based on multi-attribute queries. Existing image retrieval methods train separate classifiers for each word and heuristically combine their outputs for retrieving multiword queries. Moreover, these approaches also ignore the interdependencies among the query terms. In contrast, we propose a principled approach for multi-attribute retrieval which explicitly models the correlations that are present between the attributes. Given a multi-attribute query, we also utilize other attributes in the vocabulary which are not present in the query, for ranking/retrieval. Furthermore, we integrate ranking and retrieval within the same formulation, by posing them as structured prediction problems. Extensive experimental evaluation on the Labeled Faces in the Wild(LFW), FaceTracer and PASCAL VOC datasets show that our approach significantly outperforms several state-of-the-art ranking and retrieval methods.
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Cites
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Describing objects by their attributes
Farhadi, A., Endres, I., Hoiem, D., & Forsyth, D. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206772 · Cited by 1,917
Learning to detect unseen object classes by between-class attribute transfer
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Label-Embedding for Image Classification
Akata, Z., Perronnin, F., Harchaoui, Z., & Schmid, C. (2016) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2487986 · Cited by 770
Word Spotting and Recognition with Embedded Attributes
Almazan, J., Gordo, A., Fornes, A., & Valveny, E. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2339814 · Cited by 517
Describing Clothing by Semantic Attributes
Chen, H., Gallagher, A., & Girod, B. (2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-33712-3_44 · Cited by 411
Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval
Schuster, S., Krishna, R., Chang, A., Fei-Fei, L., & Manning, C. D. (2015) · Proceedings of the Fourth Workshop on Vision and Language · doi:10.18653/v1/w15-2812 · Cited by 332
WhittleSearch: Image search with relative attribute feedback
Kovashka, A., Parikh, D., & Grauman, K. (2012) · 2012 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2012.6248026 · Cited by 296
Metadata
- Authors
- Siddiquie, B., Feris, R. S., & Davis, L. S.
- Venue
- CVPR 2011
- Publisher
- IEEE
- Published
- 2011-06
- Pages
- 801-808
- OpenAlex
- W2085660690
- Cited by
- 313
- References
- 24
- FWCI
- 23.91
- Type
- conference paper
- Language
- en
- Open access
- closed
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