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An image retrieval scheme with relevance feedback using feature reconstruction and SVM reclassification

  • Published:2014-03 Issue: Volume:127 Page:214-230
  • ISSN:0925-2312
  • Container-title:Neurocomputing
  • language:en
  • Short-container-title:Neurocomputing

Author:

Wang Xiang-Yang,Li Yong-Wei,Yang Hong-Ying,Chen Jing-Wei

Funder

National Natural Science Foundation of China

Open Project Program of Jiangsu Key Laboratory of Image and Video Understanding for Social Safety (Nanjing University of Science and Technology)

Liaoning Research Project for Institutions of Higher Education of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference27 articles.

1. Multimodal graph-based reranking for web image search;Wang;IEEE Trans. Image Process.,2012

2. A survey on visual content-based video indexing and retrieval;Hu;IEEE Trans. Syst., Man, Cybern., Part C: Appl. Rev.,2011

3. Relevance feedback: a power tool for interactive content-based image retrieval;Rui;IEEE Trans. Circuits Syst. Video Technol.,1998

4. Relevance feedback models for content-based image retrieval;Auer,2011

5. Assistive tagging: a survey of multimedia tagging with human–computer joint exploration;Wang;ACM Comput. Surv. (CSUR),2012

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