Semantic classification of business images

Berna Erol; Jonathan J. Hull

doi:10.1117/12.643463

16 January 2006 Semantic classification of business images

Berna Erol, Jonathan J. Hull

Proceedings Volume 6073, Multimedia Content Analysis, Management, and Retrieval 2006; 60730G (2006) https://doi.org/10.1117/12.643463
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Digital cameras are becoming increasingly common for capturing information in business settings. In this paper, we describe a novel method for classifying images into the following semantic classes: document, whiteboard, business card, slide, and regular images. Our method is based on combining low-level image features, such as text color, layout, and handwriting features with high-level OCR output analysis. Several Support Vector Machine Classifiers are combined for multi-class classification of input images. The system yields 95% accuracy in classification.

Citation Download Citation

Berna Erol and Jonathan J. Hull "Semantic classification of business images", Proc. SPIE 6073, Multimedia Content Analysis, Management, and Retrieval 2006, 60730G (16 January 2006); https://doi.org/10.1117/12.643463

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