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Title: Digital photographs classification
Authors: Low, Amy Ghee Teng.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2010
Abstract: The number of people taking up digital photography as a hobby or using a digital camera as a lifestyle tool has gained widespread increase over recent years. As such users are getting to have large collections of digital photographs. Organization and management of those large personal image collections is a laborious task. Thus it becomes an arising challenge. This project extends from a previous FYP and the goal is to come up with an integrated program that is capable of assisting users to browse, handle and organize those collections. In order to achieve that, new and existing functions including creation of user manual, improving the time-based categorizing and file existence check were investigated and successfully implemented. After a background introduction and a brief literature review, this report documents the requirement analysis performed, after which the development of each function is explained in details. At the end, implementation results and discussions are presented. Firstly this project extends the functionalities of the time-based clustering allowing photographs to be classified according to the duration of the events. Secondly, the inclusion of help content aid usability. These include steps on how to install the Probuddy, explanations of each functionalities of the program and together with some code snippets will assist future developers in future maintenance of the program. Lastly, a functionality to categorize photos that were already uploaded before is implemented. Therefore unnecessary duplicate images are avoided. The functionalities of ProBuddy would be a helpful tool for consumers to quickly categorize and organize their huge collection of photos.
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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