International Journal of Computer Vision
Photobook: content-based manipulation of image databases
International Journal of Computer Vision
Principles of data mining
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Automatically Finding Images for Clinical Decision Support
ICDMW '07 Proceedings of the Seventh IEEE International Conference on Data Mining Workshops
A comparison of color features for visual concept classification
CIVR '08 Proceedings of the 2008 international conference on Content-based image and video retrieval
Performance evaluation of local colour invariants
Computer Vision and Image Understanding
Exploring text and image features to classify images in bioscience literature
BioNLP '06 Proceedings of the Workshop on Linking Natural Language Processing and Biology: Towards Deeper Biological Literature Analysis
A new content-based image retrieval approach based on pattern orientation histogram
MIRAGE'07 Proceedings of the 3rd international conference on Computer vision/computer graphics collaboration techniques
Evaluating Color Descriptors for Object and Scene Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Adaptive Color Independent Components Based SIFT Descriptors for Image Classification
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
Visual Object Recognition
Bag-of-colors for improved image search
MM '11 Proceedings of the 19th ACM international conference on Multimedia
IEEE Transactions on Image Processing
Mobile Medical Visual Information Retrieval
IEEE Transactions on Information Technology in Biomedicine
MCBR-CDS'12 Proceedings of the Third MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support
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The number of biomedical publications has increased noticeably in the last 30 years. Clinicians and medical researchers regularly have unmet information needs but require more time for searching than is usually available to find publications relevant to a clinical situation. The techniques described in this article are used to classify images from the biomedical open access literature into categories, which can potentially reduce the search time. Only the visual information of the images is used to classify images based on a benchmark database of ImageCLEF 2011 created for the task of image classification and image retrieval. We evaluate particularly the importance of color in addition to the frequently used texture and grey level features. Results show that bags---of---colors in combination with the Scale Invariant Feature Transform (SIFT) provide an image representation allowing to improve the classification quality. Accuracy improved from 69.75% of the best system in ImageCLEF 2011 using visual information, only, to 72.5% of the system described in this paper. The results highlight the importance of color for the classification of biomedical images.