| Título: | TEXTURE DEPICTION SUBSEQUENT TO VISUAL PERCEPTION |
| Autores: |
Rajitha, P.; M.Tech Student, Dept of CSE, RRS College of Engineering and Technology, Patancheru,
Medak, A.P Madhusekhar, Y.; Assistant Professor, Dept of CSE, RRS College of Engineering and Technology, Patancheru, Medak, A.P |
| Fecha: | 2013-08-07 |
| Publicador: | International journal of computer and electronics research |
| Fuente: |
 |
| Tipo: | Peer-reviewed Article |
| Tema: | Image Records; Multimedia management; Relevance Feedback; Support Vector Machine Relevance Feedback; Semantic gap |
| Descripción: | Content-Based Image Retrieval is stimulated by the unpredictable growth of image records and online convenience of remotely stored images and has gained more attention for its potential application in multimedia management. Relevance Feedback was introduced as a powerful tool to enhance the performance of Content-Based Image Retrieval to narrow down the semantic gap. Relevance Feedback is very different from the traditional classification problem because the feedbacks provided by the user are often limited in real-world image retrieval systems. Support Vector Machine based Relevance Feedback has been widely used to bridge the semantic gap and enhance the performance of Content-Based Image Retrieval systems. Most of the Support Vector Machine Relevance Feedback approaches ignore the basic difference between the two distinct groups of feedbacks, that is, all positive feedbacks share a similar concept while each negative feedback usually varies with different concepts. |
| Idioma: | Inglés |
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