Abstract
The computer vision based scene classification technology is widely developed and applied in different fields. In this paper, the typical scene classification technology is analyzed and compared from the different directions. First, the background, application and development situation is introduced. Then, the related researches both at home and overseas are analyzed, compared and summarized from the perspectives of feature extraction, semantic analysis and machine learning. Finally, the problems that the current researches are facing and potential future development are discussed.
Translated title of the contribution | Review on Image Scene Classification Technology |
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Original language | Chinese (Traditional) |
Pages (from-to) | 915-926 |
Number of pages | 12 |
Journal | Tien Tzu Hsueh Pao/Acta Electronica Sinica |
Volume | 47 |
Issue number | 4 |
DOIs | |
Publication status | Published - 2019 Apr 1 |
Keywords
- Deep learning
- Feature extraction
- Scene classification
- Semantics analysis
ASJC Scopus subject areas
- Electrical and Electronic Engineering