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BIP: A dimensionality reduction for image indexing
Minu R.I.,Nagarajan G.,Prem Jacob T.,Pravin A. 한국통신학회 2019 ICT Express Vol.5 No.3
Searching on internet is one of the daily task done by millions of users around the Globe. There is an urge for effective indexing scheme for unstructured data, which provide better search results. The image, content report, and site pages are said to be unstructured database. These information are not sorted out so the recovery rates of these information are purposely low when contrasted with indexed database. These information are indexed concerning their cues is one of the challenging areas to be explored. For the client require, the data recovery segment endeavors to coordinate the client question with the indexed database will provide effective recovery rates. In this paper a new image indexing scheme called Basic intrinsic pattern (BIP) is elaborated, which uses the image intensity as the key variable for image indexing. The algorithm is evaluated with respect to the size of the feature vector and the retrieval rate.
Edge Computing Based Surveillance Framework for Real Time Activity Recognition
Aishwarya D.,Minu R.I. 한국통신학회 2021 ICT Express Vol.7 No.2
Closed Circuit Television (CCTV) based Surveillance has become the fundamental part of the security Systems. In most cases, surveillance feeds are only used as evidence. The emergence of Edge Computing gives hope for enabling real time surveillance systems that focuses on prevention of crimes. The proposed architecture consists of a Convolutional Neural Network (CNN) enabled in an edge device, with reduced computational complexity, which classifies various actions like Pulling, pushing and other hand movements and locates the identified activities in the image frame using bounding boxes. The proposed architecture gives an alert whenever a suspicious activity is detected. The system was found efficient when validated against the Dataset taken from the SRM IST Campus.