Abstract
Content Based Image Retrieval (CBIR) has been a challenging research area among researchers of both industries and academic institutions. Human can judge and respond by memory to obtain and locate the target image and relate it by specific object, but for computer vision it's a challenging issue to retrieve image from complex database that is difficult to balance with an efficient algorithm. Simultaneous situation and complex object has been always a big challenge to retrieve an object from image or query image from database. In this paper, we propose to combine Neural Network to sense a specific objective image that is content based and easily retrieving from complex database.
Original language | English |
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Title of host publication | ICCWAMTIP 2014 |
Subtitle of host publication | 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 301-304 |
Number of pages | 4 |
ISBN (Electronic) | 9781479972081 |
DOIs | |
Publication status | Published - 2014 |
Externally published | Yes |
Event | 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 - Sichuan Province, Chengdu, China Duration: 19 Dec 2014 → 21 Dec 2014 |
Other
Other | 2014 11th International Computer Conference on Wavelet Active Media Technology and Information Processing, ICCWAMTIP 2014 |
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Country/Territory | China |
City | Sichuan Province, Chengdu |
Period | 19/12/14 → 21/12/14 |
Keywords
- Content Based Image Retrieval
- neural network
- computer vision
- complex database
- feature extraction