Project Member: Sajan Raj OJha
The influence of digital devices in human life cannot be ignored. Because of the easy availability of the digital devices the amount of digital data a human generates has grown enormously. The rich and vast amount of data that can be captured by these ubiquitous devices ranges from communication, location, proximity, motion, and video, to name a few. Recently, researchers are realizing the rich information that can be captured by these ubiquitous devices, which has potential impact on a vast range of domains including epidemiology, psychology and sociology, urban planning, security and intelligence, and health monitoring. The potential for use of this information is huge and mostly unexplored . There is big research in the field of managing Personal Information. Personal Information Management (PIM) is an activity in which an individual stores his/her personal information items in order to retrieve and use them later. Such information items include files, emails, Web favorites, contacts, and notes . User has to personally search and summarize all the events himself, which is very daunting and cumbersome task. Managing them according to their nature for example grouping all the related images according to an event such as a Birthday Party. Mainly our focus is on the summarization and display of the event that has occurred in a person’s life.
We will try to build a system that is capable to summarize the images taken in near similar location along with GPS data. Image grouping will be done using different clustering techniques. Image clustering is a process of grouping images based on their similarity. The image clustering usually uses the color component, texture, edge, shape, or mixture of two components, etc.
The clustered image will help in exact event summarization in the particular location.
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