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Rani, Shoba
- Categorization of Video using Viola Jones and Fisher’s Linear Discriminant Function
Abstract Views :145 |
PDF Views:3
Authors
Shoba Rani
1,
D. Syed Ali
1
Affiliations
1 CSE, Dr. M.G.R. Educational, and Research Institute University, IN
1 CSE, Dr. M.G.R. Educational, and Research Institute University, IN
Source
Biometrics and Bioinformatics, Vol 7, No 4 (2015), Pagination: 110-113Abstract
A large amount of single-shot, short videos are created by using personal camcorder in day-to-day life. Many videos are kept in a video pool and merged into a single video. Categorization is done based on transition clues like objects or human beings. For categorization process frame-by-frame search is made on videos in a video pool. Frames are extracted from Video using Viola Jones algorithm. In each frame, complete object is extracted. Features are extracted from the remaining portion of object using Fisher’s Linear Discriminant function. The features are extracted from objects is considered as a pattern. If 20 frames belonging to a video are considered, then 20 patterns are created. This proposed system is mainly used for separating human beings and objects.Keywords
Categorization, Integral Image, HAAR Detector, Viola Jones Method, Fisher’s Linear Discriminant Function.- Analysis of Various Segmentation Techniques to Diagnose the Possible Liver Disorder
Abstract Views :179 |
PDF Views:3
Authors
Affiliations
1 Dept of CSE, Dr.M.G.R Educational & Research Institute University, IN
2 Dept of CSE, Dr.M.G.R Educational & Research Institute University, IN
1 Dept of CSE, Dr.M.G.R Educational & Research Institute University, IN
2 Dept of CSE, Dr.M.G.R Educational & Research Institute University, IN
Source
Biometrics and Bioinformatics, Vol 7, No 4 (2015), Pagination: 114-115Abstract
Liver being the vital organ of human beings, diseases related to liver is considered to be more serious. This paper focuses on various segmentation techniques used to diagnose the abnormality functioning of liver. Image segmentation is considered to be a major process as it involves partitioning the image into smaller segments based on various features that includes intensity value of the image, color, etc.