Deepika. S. P, Ananthi. M, Rajkumar. P; International Journal of Advance Research, Ideas and Innovations in Technology 2018, www.IJARIIT.com All Rights Reserved Page |82 ISSN: 2454-132X Impact factor: 4.295 (Volume 4, Issue 2) Available online at: www.ijariit.com Video-Based Face Detection Process S. P. Deepika deepikaopp@gmail.com Info Institute of Engineering, Anna University, Chennai, Tamil Nadu M. Ananthi mail2ananthiinfo@gmail.com Info Institute of Engineering, Anna University, Chennai, Tamil Nadu P. Rajkumar mail2ananthiinfo@gmail.com Info Institute of Engineering, Anna University, Chennai, Tamil Nadu ABSTRACT The project entitled “Movie Character Discovery” is used to identify movie characters in videos. Automatic face identification of characters in movies has drawn significant research interests and led to many interesting applications. It is a challenging problem due to the huge variation in the appearance of each character. Although existing methods demonstrate promising results in a clean environment, the performances are limited in complex movie scenes due to the noises generated during the face tracking and face clustering process. In this paper, we present two schemes of a global face-name matching based framework for robust character identification. The contributions of this work include: Complex character changes are handled by simultaneously graph partition and graph matching. Beyond existing character identification approaches, we further perform an in-depth sensitivity analysis by introducing two types of simulated noises. The proposed schemes demonstrate state-of-the-art performance on movie character identification in various genres of movies. Keywords: Graph Matching, Robust Name, Database, Complexity. 1. INTRODUCTION In this project, our focus is on annotating characters in the movie, videos, and TVs, which is called movie character identification. The objective is to identify the faces of the characters in the video and label them with the corresponding names in the cast. In a movie, characters are the focus center of interests for the audience. Their occurrences provide lots of clues about the movie structure and content. Automatic character identification is essential for semantic movie index and retrieval, scene segmentation, summarization and other applications. Character identification, though very intuitive to humans, is a tremendously challenging task in computer vision. 2. RELATED WORK As one of the most important applications of the wireless sensor network, positioning technology has become a extremely hot research filed. Taking into account of the position of beacon nodes, they make an effect on the positioning accuracy of unknown nodes. It proposes a new weighted centric localization algorithm based on the traditional algorithm. For the selection of weight, the distance between beacon nodes and unknown nodes, and the slide length of the triangle are used to form the weighted factor. In that, this algorithm increased localization accuracy than that of traditional algorithm. The localization space can be divided into distinct regions that can each be uniquely identified by sequences that represent the ranking of distances from the reference nodes to that region. For n reference nodes in the localization space, combinatorially, O(n) n sequences are possible, due to geometric constraints, the actual number of feasible location sequences is much lower: only O(n 4 ) Using this location sequence, a localization technique that is robust to random errors due to the multipath and shadowing effects of wireless channels. Through extensive systematic simulations and a representative set of real mote experiments, lightweight localization technique provides comparable or better accuracy than other state-of-the-art radio signal strength- based localization techniques over a range of wireless channel and node deployment conditions. A. Feasibility Study In the technical feasibility study, one has to test whether the proposed system can be developed using existing technology or not. It is planned to implement the proposed system using visual basic with db2 backend and crystal reports. It is evident that the necessary hardware and software are available for development and implementation of the proposed system. Hence, the solution is technically feasible. As part of this, the costs and benefits associated with the proposed system are compared and the project is economically feasible only if tangible or intangible benefits outweigh costs. The proposed