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 Semantic Gap in CBIR: Automatic Objects Spatial ...
Semantic Gap in CBIR: Automatic Objects Spatial Relationships Semantic Extraction and Representation Hui Hui Wang hhwang@fit.unimas.my Department of Computing and Software Engineering, Faculty of Computer Science and Information Technology, Universiti Malaysia Sarawak, 94300 Kota Samarahan, Sarawak, Malaysia
Semantic Gap in CBIR: Automatic Objects Spatial ...
Request PDF | Semantic Gap in CBIR: Automatic Objects Spatial Relationships Semantic Extraction and Representation | The explosive growth of image data leads to the need of research anddevelopment ...
Semantic Gap in CBIR: Automatic Objects Spatial ...
Semantic Gap in CBIR: Automatic Objects Spatial relationships Semantic Extraction and Representation Hui Hui Wang, Dzulkifli Mohamad, N. A. Ismail Pages - 192 - 204 | Revised - 30-06-2010 | Published - 10-08-2010
Semantic Gap in CBIR: Automatic Objects Spatial ...
Semantic Gap in CBIR: Automatic Objects Spatial Relationships Semantic Extraction and Representation . ... This paper is proposed a novel technique for objectsspatial relationships semantics extraction and representation among objectsexists in images. All objects are identified based on low level features extractionintegrated with proposed line ......
Semantic gap in CBIR: automatic objects spatial ...
Semantic gap in CBIR: automatic objects spatial relationships semantic extraction and representation Abstract The explosive growth of image data leads to the need of research and development of Image retrieval. Image retrieval researches are moving from keyword, to low level features and to semantic features.
Semantic gap in CBIR: automatic objects spatial ...
Hui, Hui Wang and Mohamad, Dzulkifli and Ismail, N. A. (2010) Semantic gap in CBIR: automatic objects spatial relationships semantic extraction and representation. International Journal of Image Processing (IJIP), 4 (3). pp. 192-204. ISSN 1985-2304
Content Based Image Retrieval Using Quantitative Semantic ...
In order to improve the effectiveness of content-based image retrieval systems, research direction has been shifted from designing sophisticated low-level feature extraction algorithms to reducing the ‘semantic gap’ between the visual features and the richness of human semantics.
Ontology based Image Retrieval Framework ... - ScienceDirect
Tech. Rep. UU-CS 2000-34, Univ. Utrecht, Utrecht, The Netherlands, 2000. [10]. Wang Hui, Dzulkifli Mohamad & N.A. Ismail “Semantic Gap in CBIR: Automatic Objects Spatial Relationships Semantic Extraction and representation International Journal Of Image Processing (IJIP), Volume (4): Issue (3)2010 [11]....
A Novel Discriminating and Relative Global Spatial Image ...
Overlapping objects, differences in the spatial layout of the image, changes in illumination and semantic gaps make CBIR challenging for the research community [8]. Wang et al. [23] propose the Spatial Weighing BOF (SWBOF) model to extract the spatial information by using three approaches, i.e., local variance, local entropy and adjacent block ......
Towards Semantic Based Image Retrieval : A Review ...
Semantic Gap in CBIR: Automatic Objects Spatial Relationships Semantic Extraction and Representation ... to compute the spatial relation among objects.There are 8 spatial relationship concepts are ...
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