Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/64247
Title: Knowledge extraction from images
Authors: Muhammad Shafiq Shith
Keywords: DRNTU::Engineering::Electrical and electronic engineering::Computer hardware, software and systems
Issue Date: 2015
Abstract: Knowledge extraction from images is obtaining valuable information for various purposes. Extraction of text, titles, descriptions and etc. As online image search engines progressed and developed over time, it has change how we use these tools for online searches. We constantly find ways to improve and innovate the current concepts of image searching. However, there are always limitations to what a computer can accomplish. Based on application such as Machine Learning and Image Processing, a search can be better refined if we could enhance the search engines to think like a human. This project aims to find a way to extract valuable information from images searches and provide a use for those information.
URI: http://hdl.handle.net/10356/64247
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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