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- Title
An effective fusion model for image retrieval.
- Authors
Mansourian, Leila; Abdullah, Muhamad Taufik; Abdullah, Lili Nurliyana; Azman, Azreen; Mustaffa, Mas Rina
- Abstract
In the past decade, the popular Bag of Visual Words approach has been applied to many computer vision tasks, including image classification, video search, robot localization, and texture recognition. Unfortunately, most approaches use intensity features and discard color information, an important characteristic of any image that is motivated by human vision. Besides, if background colors are higher than foreground ones, Dominant Color Descriptor (DCD) retrieves images that contain similar background colors correctly. On the other hand, just color feature extraction is not sufficient for similar objects with different color descriptors (e.g. white dog vs. black dog). To solve these problems, a new Salient DCD (SDCD) color descriptor is proposed to extract foreground color and add semantic information into DCD based on the color distances and salient object extraction methods. Besides, a new fusion model is presented to fuse SDCD histogram and PHOW MSDSIFT histogram. Performance evaluation on several datasets proves that the new approach outperforms other existing, state-of-the-art methods.
- Subjects
IMAGE retrieval; DATA fusion (Statistics); COMPUTER vision; CLASSIFICATION; IMAGE processing; DESCRIPTOR systems; FEATURE extraction; IMAGE color analysis
- Publication
Multimedia Tools & Applications, 2018, Vol 77, Issue 13, p16131
- ISSN
1380-7501
- Publication type
Article
- DOI
10.1007/s11042-017-5192-x