MMAS Algorithm for Features Selection Using 1D-DWT for Video-Based Face Recognition in the Online Video Contextual Advertisement User-Oriented System
Uloženo v:
| Název: | MMAS Algorithm for Features Selection Using 1D-DWT for Video-Based Face Recognition in the Online Video Contextual Advertisement User-Oriented System |
|---|---|
| Autoři: | Le Nguyen Bao, Dac-Nhuong Le, Gia Nhu Nguyen, Le Van Chung, Nilanjan Dey |
| Zdroj: | Journal of Global Information Management. 25:103-124 |
| Informace o vydavateli: | IGI Global, 2017. |
| Rok vydání: | 2017 |
| Témata: | 2. Zero hunger, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology |
| Popis: | Face recognition is an importance step which can affect the performance of the system. In this paper, the authors propose a novel Max-Min Ant System algorithm to optimal feature selection based on Discrete Wavelet Transform feature for Video-based face recognition. The length of the culled feature vector is adopted as heuristic information for ant's pheromone in their algorithm. They selected the optimal feature subset in terms of shortest feature length and the best performance of classifier used k-nearest neighbor classifier. The experiments were analyzed on face recognition show that the authors' algorithm can be easily implemented and without any priori information of features. The evaluated performance of their algorithm is better than previous approaches for feature selection. |
| Druh dokumentu: | Article |
| Jazyk: | Ndonga |
| ISSN: | 1533-7995 1062-7375 |
| DOI: | 10.4018/jgim.2017100107 |
| Přístupová URL adresa: | https://www.igi-global.com/article/mmas-algorithm-for-features-selection-using-1d-dwt-for-video-based-face-recognition-in-the-online-video-contextual-advertisement-user-oriented-system/186815 https://ideas.repec.org/a/igg/jgim00/v25y2017i4p103-124.html https://doi.org/10.4018/JGIM.2017100107 https://econpapers.repec.org/RePEc:igg:jgim00:v:25:y:2017:i:4:p:103-124 |
| Přístupové číslo: | edsair.doi.dedup.....7ad7380d4cece68dee791d32a794edac |
| Databáze: | OpenAIRE |
Full Text Finder 
Nájsť tento článok vo Web of Science | Abstrakt: | Face recognition is an importance step which can affect the performance of the system. In this paper, the authors propose a novel Max-Min Ant System algorithm to optimal feature selection based on Discrete Wavelet Transform feature for Video-based face recognition. The length of the culled feature vector is adopted as heuristic information for ant's pheromone in their algorithm. They selected the optimal feature subset in terms of shortest feature length and the best performance of classifier used k-nearest neighbor classifier. The experiments were analyzed on face recognition show that the authors' algorithm can be easily implemented and without any priori information of features. The evaluated performance of their algorithm is better than previous approaches for feature selection. |
|---|---|
| ISSN: | 15337995 10627375 |
| DOI: | 10.4018/jgim.2017100107 |