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Text extraction from complex video scenes Dr. Athanasios Nikolaidis, [email protected] The objective of my Thesis was the development of an Image Processing desktop application, capable of detecting and extracting text displays from videos with complex backgrounds. My approach implements Machine Learning and Image Analysis methodologies from various popular scientific papers. JavaFX, OpenCV, LIBSVM, Gradle, JUnit, TestFX
[1] Palaiahnakote Shivakumara, Trung Quy Phan and Chew Lim Tan, Senior Member, IEEE “A Laplacian Approach to Multi-Oriented Text Detection in Video”, IEEE
[2] Trung Quy Phan, Palaiahnakote Shivakumara and Chew Lim Tan “A Laplacian Method for Video Text Detection”, School of Computing, National University of Singapore, 2009
[3] Rakesh Mehta, Karen Egiazarian, “Rotated Local Binary Pattern (RLBP) Rotation invariant texture descriptor”, 2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013, Barcelona, Spain, 2013
[4] Cong Yao, “MSRA Text Detection 500 Database (MSRA-TD500)”, Huazhong University of Science and Technology, 2012
[5] Visual Geometry Group, “Synthetic Word Dataset ”, Department of Engineering Science, University of Oxford
Download my Thesis [PDF-Greek]
