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Automatic Image Labeling System for Outdoor Scene
http://hdl.handle.net/20.500.12678/0000003767
http://hdl.handle.net/20.500.12678/0000003767c86d1fbb-857f-4d37-bb6d-578baa5fc9f6
036ecf47-c1bc-4a07-9075-fee03c586384
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12054.pdf (231 Kb)
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Article | ||||||
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Publication | ||||||
Title | ||||||
Title | Automatic Image Labeling System for Outdoor Scene | |||||
Language | en | |||||
Publication date | 2014-02-17 | |||||
Authors | ||||||
Yu, May Thae | ||||||
Sein, Myint Myint | ||||||
Description | ||||||
Automatic image annotation is important to bothvideo and image retrieval and computer objectrecognition. To ensure easy sharing of an effectivesearching over a huge and fast growing number ofonline images, real-time automatic annotation bywords is an imperative but highly challenging task.The system tends to partition the image plane to a setof non-overlapping regions with coherent imageappearance. In the proposed system, the efficientsegmentation algorithm is developed by combiningthe N-cut segmentation algorithm to partition theimage region and color component analysis to extractcenter region. In the system, there are six number ofsegmented parts are used. Five segmented parts areretrieved by using N-cut and center image is retrievedusing color component analysis method. | ||||||
Keywords | ||||||
segmentation, image matching, image annotation | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/150 | |||||
Journal articles | ||||||
Twelfth International Conference On Computer Applications (ICCA 2014) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |