DocumentCode :
2447659
Title :
Personal image and video organizer with person-based navigation Smart-PIVO system
Author :
Perera, Sandun P. ; Koggalage, Ravindra
Author_Institution :
Inf. Inst. of Technol., Univ. of Westminster, Colombo, Sri Lanka
fYear :
2011
fDate :
14-16 Oct. 2011
Firstpage :
84
Lastpage :
89
Abstract :
At present in many next generation software´s biometric recognition has been included as a key facility. The Key advantage of using biometric recognition technologies over traditional approaches is the ability of gaining high accuracy in results. Face recognition can be considered as one of such popularly used technology. In this research it has been used to solve problems when organizing personal media galleries such as videos and images .Since the growth of digital cameras and camera integrated mobile phone usage, the amount of personal media files kept in databases are growing rapidly. Handling huge databases have been very tedious and time consuming task. The main purpose of the proposed system is handling those large media databases efficiently. It helps to categorize personnel images and videos intelligently in computers. Smart-PIVO application uses face detection and face recognition techniques to automate the process, which gives the advantage of accurate arrangement of data in large media datasets. This research paper presents the proposed solution along with prototype results.
Keywords :
face recognition; video databases; digital cameras; face detection; face recognition; large media database handling; next generation software biometric recognition; person-based navigation Smart-PIVO system; personal image organizer; video organizer; Databases; Face; Face detection; Face recognition; Media; Organizing; Streaming media; face detection; face recognition; person annotation; video summarising;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2011 International Conference of
Conference_Location :
Dalian
Print_ISBN :
978-1-4577-1195-4
Type :
conf
DOI :
10.1109/SoCPaR.2011.6089100
Filename :
6089100
Link To Document :
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