Semantic classification of business images

被引：0
|
作者：
Erol, B [1 ]
Hull, JJ [1 ]
机构：
[1] Ricoh Calif Res Ctr, 2882 Sand Hill Rd,Suite 115, Menlo Pk, CA USA
来源：
MULTIMEDIA CONTENT ANALYSIS, MANAGEMENT, AND RETRIEVAL 2006 | 2006年 / 6073卷
关键词：
image classification; image retrieval; photo organizer;
D O I：
10.1117/12.643463
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
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.
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收藏
页数：8
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