Perceptual Image Retrieval by Adding Color Information to the Shape Context Descriptor

2010 ◽  
Author(s):  
Marcal Rusinol ◽  
Farshad Noorbakhsh ◽  
Dimosthenis Karatzas ◽  
Ernest Valveny ◽  
Josep Llados
Keyword(s):  
Image Retrieval ◽  
Color Information ◽  
Shape Context

Shape and spatial color information extraction for image retrieval

2001 ◽  
Author(s):  
Panagiotis Androutsos ◽  
Diana Ferrari ◽  
Allen Ly ◽  
Andrew Persaud ◽  
Dimitrios Androutsos ◽  
...  
Keyword(s):  
Image Retrieval ◽  
Information Extraction ◽  
Color Information

Binary image retrieval based on improved shape context algorithm

2015 ◽  
Vol 23 (1) ◽  
pp. 302-309 ◽  
Author(s):  
吴晓雨 WU Xiao-yu ◽  
何彦 HE Yan ◽  
杨磊 YANG Lei ◽  
张宜春 ZHANG Yi-chun
Keyword(s):  
Image Retrieval ◽  
Binary Image ◽  
Shape Context

20Clustered Domain Colors and Bag of Words Algorithm Based Image Retrieval

2013 ◽  
Vol 321-324 ◽  
pp. 956-960 ◽  
Author(s):  
Lei Tang ◽  
Chang Sheng Zhou ◽  
Liang Zhang
Keyword(s):  
Object Recognition ◽  
Image Retrieval ◽  
Search Algorithm ◽  
Recognition Algorithm ◽  
Features Extraction ◽  
Bag Of Words ◽  
Semantic Features ◽  
Color Information ◽  
Visual Words ◽  
Detection And Recognition

Bag of words algorithm is an efficient object recognition algorithm based on semantic features extraction and expression. It learns the virtues of the text-based search algorithm to make images a range of visual words, extract the semantic characters and carry out the detection and recognition of interesting objects. Bag of words algorithm is extracted from gray images and discard s color information of images. We propose in this paper a method of image retrieval based on clustered domain colors and bag of words algorithm. The results of experiments show that this method can improve the precision of retrieval efficiently.

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