Informatics Publishing Limited

N. Kanya ¹, S. Geetha ¹, D. Syed Ali ¹

Affiliations
1 Department of CSE, Dr. M.G.R Educational & Research Institute, Chennai, TN, IN

Abstract

Big Data involves huge quantity of growing data sets with manifold independent sources. Through the fast development of networking, data storage, and the data collection capacity. Big Data are now quickly expanding in all science and engineering domains, as well as physical, biological and biomedical sciences. This data-driven model involves demand-driven aggregation of information sources, mining and analysis, user interest modelling, and security and privacy considerations. We analyze the challenging issues in the data-driven model and also in the Big Data revolution.

Keywords

Big Data, Data Mining, KDD.

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Shoba Rani ¹, D. Syed Ali ¹

Affiliations
1 CSE, Dr. M.G.R. Educational, and Research Institute University, IN

Abstract

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.

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