Content-based image retrieval algorithm oriented by users' experience

2012 ◽  
Author(s):  
Linying Jiang ◽  
Jiefu Ren ◽  
Dancheng Li
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Retrieval Algorithm

scholarly journals Multidimensional Markov Stationary Feature for Image Retrival Systems

2016 ◽  
Vol 44 ◽  
pp. 113-122
Author(s):  
Md. Saiful Islam ◽  
Md. Emdadul Haque ◽  
Md. Ekramul Hamid
Keyword(s):  
Image Retrieval ◽  
Large Scale ◽  
Experimental Result ◽  
Content Based Image Retrieval ◽  
Retrieval Algorithm ◽  
Histogram Method

Markov Stationary Features (MSF) not only considers the distribution of colors like histogram method does, also characterizes the spatial co-occurrence of histogram patterns. However, handling large scale database of images, simple MSF method is not sufficient to discriminate the images. In this paper, we have proposed a robust content based image retrieval algorithm that enhances the discriminating capability of the original MSF. The proposed Multidimensional MSF (MMSF) algorithm extends the MSF by generating multiple co-occurrence matrices with different quantization levels of an image. Publicly available WANG1000 and Corel10800 databases are used to evaluate the performance of the proposed algorithm. The experimental result justifies the effectiveness of the proposed method.

Pyramid Histograms of Orientated Gradients for Product Image Retrieval

2011 ◽  
Vol 383-390 ◽  
pp. 5712-5716
Author(s):  
Shi Jie Jia ◽  
Yan Ping Yang ◽  
Jian Ying Zhao ◽  
Nan Xiao
Keyword(s):  
Image Retrieval ◽  
Retrieval System ◽  
Content Based Image Retrieval ◽  
Retrieval Algorithm ◽  
Chi Square ◽  
Image Retrieval System ◽  
Product Image ◽  
On Line ◽  
Product Search ◽  
Product Image Retrieval

Traditional text-based image retrieval methods are hard to meet the requirements of on-line product search. This paper applied Content Based Image Retrieval (CBIR) technologies to e-commerce field and designed a product image retrieval algorithm based on Pyramid Histograms of Orientated Gradients (PHOG) descriptor and chi-square distance. By constructing the image retrieval system, we made retrieval tests on PI100 dataset from Microsoft Research Asia. The experimental results proved the efficiency of this algorithm.

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