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Augmenting Bag-of-Words - Category Specific Features and Concept Reasoning

: Mbanya, E.; Hentschel, C.; Gerke, S.; Liu, M.; Nürnberger, A.; Ndjiki-Nya, P.

Braschler, M.:
CLEF 2010. Working notes. Online resource : Padua, Italy, September 22-23, 2010
La Clusaz: CEUR, 2010 (CEUR Workshop Proceedings 1176)
ISBN: 978-88-904810-0-0
URN: urn:nbn:de:0074-1176-8
10 S.
Conference on Multilingual and Multimodal Information Access Evaluation <2010, Padua>
International Conference of the Cross-Language Evaluation Forum (CLEF) <1, 2010, Padua>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer HHI ()

In this paper we present our approach to the 2010 ImageClef PhotoAnnotation task. Based on the well-known bag-of-words approach we suggest two extensions. First, we analyzed the impact of category specific features and classifiers. In order to classify quality-related image categories we implemented a sharpness measure and use this as additional feature in the classification process. Second, we propose a postclassification step, which is based on the observation that many of the categories should be considered as being related to each other: Some categories exclude or allow for inference to others. We incorporate inference and exclusion rules by refining the classification results. The results we obtain show that both extensions can provide a classification performance increase when compared the the standard BoW approach. 1