Image Retrieval Based on MPEG-7 Dominant Color Descriptor

2008 ◽  
Author(s):  
Hong Shao ◽  
Yueshu Wu ◽  
Wencheng Cui ◽  
Jinxia Zhang
Keyword(s):  
Image Retrieval ◽  
Dominant Color ◽  
Color Descriptor ◽  
Dominant Color Descriptor

scholarly journals Combination of Dominant Color Descriptor and Hu Moments in Consistent Zone for Content Based Image Retrieval

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 146284-146299
Author(s):  
Guangyi Xie ◽  
Baolong Guo ◽  
Zhe Huang ◽  
Yan Zheng ◽  
Yunyi Yan
Keyword(s):  
Image Retrieval ◽  
Content Based Image Retrieval ◽  
Dominant Color ◽  
Hu Moments ◽  
Color Descriptor ◽  
Dominant Color Descriptor

scholarly journals Penerapan Deskriptor Warna Dominan untuk Temu Kembali Citra Busana pada Peranti Bergerak

2016 ◽  
Vol 12 (3) ◽  
pp. 104 ◽  
Author(s):  
Yustina Dhyanti ◽  
Khairul Munadi ◽  
Fitri Arnia
Keyword(s):  
Image Retrieval ◽  
Euclidean Distance ◽  
Superior Performance ◽  
Dominant Color ◽  
Color Features ◽  
Color Descriptor ◽  
Color Correlogram ◽  
Dominant Color Descriptor ◽  
Color Combinations ◽  
Potential Customers

Nowadays, clothes with various designs and color combinations are available for purchasing through an online shop, which is mostly equipped with keyword-based item retrieval. Here, the object in the online database is retrieved based on the keyword inputted by the potential buyers. The keyword-based search may bring potential customers on difficulties to describe the clothes they want to buy. This paper presents a new searching approach, using an image instead of text, as the query into an online shop. This method is known as content-based image retrieval (CBIR).  Particularly, we focused on using color as the feature in our Muslimah clothes image retrieval. The dominant color descriptor (DCD) extracts the wardrobe's color. Then, image matching is accomplished by calculating the Euclidean distance between the query and image in the database, and the last step is to evaluate the performance of the DWD by calculating precision and recall. To determine the performance of the DCD in extracting color features, the DCD is compared with another color descriptor, that is dominant color correlogram descriptor (DCCD). The values of precision and recall of DCD ranged from 0.7 to 0.9 while the precision and recall of DCCD ranged from 0.7 to 0.8. These results showed that the DCD produce a superior performance compared to DCCD in retrieving a set of clothing image, either plain or patterned colored clothes.

Fast Image Retrieval Prototype using Color Descriptor

2016 ◽  
Vol 1 (22) ◽  
pp. 745-758
Author(s):  
Bushra Abdul-Kareem Abdul-Azeez
Keyword(s):  
Image Retrieval ◽  
Color Space ◽  
Image Database ◽  
Query Image ◽  
Color Feature ◽  
Retrieval Time ◽  
Dominant Color ◽  
Color Descriptor

In recent years, image retrieval prototypes become important and increased noticeably. Color feature is one of the most significant features to represent image. In this paper, we use a Dominant Color (DC) feature to represent images where each image represented by 8-DCs as maximum. Based on DCs values, image database is indexed using 3-D RGB partitioning color space. This is to reduce searching process where once a query image is given to the prototype; it will not search the whole database. Proposed technique will identify the partition and search the image within this partition only. According to the proposed method, extensive experiments were conducted on Corel databases. As a result, the retrieval time is reduced significantly without degradation to precision of retrieval.

Semantic Mapping of Color Feature and its Application in Content Based Image Retrieval

2012 ◽  
Vol 263-266 ◽  
pp. 2488-2492
Author(s):  
You Ping Zhong ◽  
Biao Peng ◽  
Jun Li ◽  
Chong Yang Zhang
Keyword(s):  
Image Retrieval ◽  
Mapping Method ◽  
Content Based Image Retrieval ◽  
Semantic Mapping ◽  
Semantic Retrieval ◽  
Semantic Description ◽  
Color Feature ◽  
Color Features ◽  
Color Descriptor ◽  
Dominant Color Descriptor

To support content based image retrieval, MPEG-7 is developed to define the content interfaces for images. In MPEG-7, Dominant Color Descriptor (DCD) is considered as the most important feature, and is widely used to describe the color features of an image. To support semantic queries from users, we proposed a color feature semantic mapping method in this work, which can translate the DCD values into semantic color names. The semantic mapping method is realized by constructing a mapping table between the DCD values and the semantic color names. To validate the effectiveness of our mapping method, an image retrieval experiment is conducted. From the comparison with the manually indexed description, the proposed mapping method is proved to be effective by the experiment results. Our work is very important to automatically generate the semantic description of an image and then support the users’ semantic retrieval queries.

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