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.

引用

页数：8

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