Abstract

Envisioning an alternative, out-of-band opportunity towards automatic image tagging. Designing TagSense, an architecture for coordinating the mobile phone sensors, and processing the sensed information to tag images. Implementing and evaluating TagSense on Matlab. Tags are systematically organized into a “when-where-who-what” format. To avoid the drawbacks discussed, we use image processing algorithms to detect face of a person, background information considering the place and the environmental information. These information detections is built as a application to be installed in the smart mobile phones and can be processed along with the tags in public websites. Thus our proposed work surrounds around producing an app that is flexible to detect a person using face recognition system as well as the environmental information where the photograph is taken. Cost of implementation is lowered as we create it as an application. Computational Complexity can be reduced at a higher rate.