Edge region color autocorrelogram: A new low-level feature applied in CBIR

机译：边缘区域颜色自相关图：CBIR中应用的新低级功能

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Simple yet effective feature extraction is crucial for content- based image retrieval (CBIR). In this paper we propose a novel type of regional feature, which is called edge region color autocorrelogram (ERCAC). It aims to combine the color and shape characteristics of image jointly, by capturing both color distribution of image and spatial correlation of edge points with a structure-based early fusion. Hence, both color information and sketch information are encoded into a single representation. Experimental results show that our method has better performance on the task of TRECVID 2005 concept detection.

机译：简单而有效的特征提取对于基于内容的图像检索（CBIR）至关重要。在本文中，我们提出了一种新型的区域特征，称为边缘区域颜色自相关图（ERCAC）。它旨在通过基于结构的早期融合来捕获图像的颜色分布和边缘点的空间相关性，从而共同结合图像的颜色和形状特征。因此，颜色信息和草图信息都被编码为单个表示。实验结果表明，该方法在TRECVID 2005概念检测任务中具有较好的性能。

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来源
《2010 IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB 2010)》|2010年|P.1-4|共4页
会议地点 Shanghai(CN);Shanghai(CN)
作者
Chen Xiaolin; Yang Xiaokang; Zhang Rui; Liu Anwen; Zheng Shibao;
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作者单位

Institute of Image Communication and Information Processing and Shanghai Key Lab of Digital Media Processing and Transmission, Shanghai Jiao Tong University, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类通信网;
关键词
CBIR; ERCAC; early fusion; low-level feature;

机译：CBIR; ERCAC;早期融合;低层特征;

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专利

1. An efficient CBIR system based on color histogram, edge, and texture features [J] . P. Sundara Vadivel, D. Yuvaraj, S. Navaneetha Krishnan, Concurrency and computation: practice and experience . 2019,第12期

机译：基于颜色直方图，边缘和纹理特征的高效CBIR系统
2. An efficient CBIR system based on color histogram, edge, and texture features [J] . P. Sundara Vadivel, D. Yuvaraj, S. Navaneetha Krishnan, Concurrency and computation: practice and experience . 2019,第12期

机译：基于颜色直方图，边缘和纹理特征的高效CBIR系统
3. An Efficient Re-rank and Fuzzy based Color & Edge Feature Extraction for CBIR [J] . Dr. V. Umadevi, M.Suvitha International Journal of Computer Trends and Technology . 2017,第1期

机译：高效的基于重排序和模糊的CBIR颜色和边缘特征提取
4. Edge Region Color Autocorrelogram: A New Low-level Feature Applied in CBIR [C] . Xiaolin Chen, Xiaokang Yang, Rui Zhang, IEEE International Symposium on Broadband Multimedia Systems and Broadcasting . 2010

机译：边缘区域颜色自动配置：在CBIR中应用的新低级功能
5. Edge coloring of simple graphs and edge -face coloring of simple plane graphs [D] . Luo, Rong 2002

机译：简单图的边着色和简单平面图的边面着色
6. Color edges extraction using statistical features and automatic threshold technique: application to the breast cancer cells [O] . Salim Ben Chaabane, Farhat Fnaiech 2010

机译：利用统计功能和自动阈值技术提取色边：应用于乳腺癌细胞
7. Integration of color, edge, shape and texture features for automatic region-based image annotation and retrieval [O] . Eli Saber, A. Murat Tekalp 1998

机译：集成了颜色，边缘，形状和纹理特征，用于基于区域的自动图像注释和检索

Edge region color autocorrelogram: A new low-level feature applied in CBIR

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