Dr. Lekha Chaisorn Profile

Dr. Lekha Chaisorn

Senior Research Fellow at Institute for Infocomm Research

SPIE Involvement:

Author

Proceedings Article | 5 August 2010 Paper

Detection of illegal transfer of videos over the Internet

Lekha Chaisorn, Janya Sainui, Corey Manders

Proceedings Volume 7744, 774420 (2010) https://doi.org/10.1117/12.863357

KEYWORDS: Video, Raster graphics, Video processing, Internet, Databases, Zoom lenses, Image processing, Image segmentation, Vector spaces, Berkelium

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Proceedings Article | 5 August 2010 Paper

A fast and efficient framework for indexing and detection of modified copies in video

Lekha Chaisorn, Janya Sainui, Corey Manders

Proceedings Volume 7744, 77441Y (2010) https://doi.org/10.1117/12.863278

KEYWORDS: Video, Raster graphics, Databases, Video processing, Berkelium, Lithium, Data storage, Image segmentation, Computing systems, Distance measurement

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Proceedings Article | 15 September 2008 Paper

Ordinal-based method for robust image/video signature generation

Daniel Chongli Chen, Lekha Chaisorn, Susanto Rahardja

Proceedings Volume 7073, 70732I (2008) https://doi.org/10.1117/12.802714

KEYWORDS: Video, Distance measurement, Databases, Image segmentation, Spatial resolution, Binary data, Image processing algorithms and systems, Multimedia, Internet, Video processing

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Proceedings Article | 10 September 2007 Paper

A design of real time image capturing and processing system using Texas Instrument's processor

Toon-Joo Wee, Lekha Chaisorn, Susanto Rahardja, Woon-Seng Gan

Proceedings Volume 6777, 67770N (2007) https://doi.org/10.1117/12.740117

KEYWORDS: Image processing, Video, Digital signal processing, RGB color model, Video surveillance, Video processing, Signal processing, LCDs, Digital image processing, Raster graphics

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In this work, we developed and implemented an image capturing and processing system that equipped with capability of capturing images from an input video in real time. The input video can be a video from a PC, video camcorder or DVD player. We developed two modes of operation in the system. In the first mode, an input image from the PC is processed on the processing board (development platform with a digital signal processor) and is displayed on the PC. In the second mode, current captured image from the video camcorder (or from DVD player) is processed on the board but is displayed on the LCD monitor. The major difference between our system and other existing conventional systems is that image-processing functions are performed on the board instead of the PC (so that the functions can be used for further developments on the board). The user can control the operations of the board through the Graphic User Interface (GUI) provided on the PC. In order to have a smooth image data transfer between the PC and the board, we employed Real Time Data Transfer (RTDX^TM) technology to create a link between them. For image processing functions, we developed three main groups of function: (1) Point Processing; (2) Filtering and; (3) 'Others'. Point Processing includes rotation, negation and mirroring. Filter category provides median, adaptive, smooth and sharpen filtering in the time domain. In 'Others' category, auto-contrast adjustment, edge detection, segmentation and sepia color are provided, these functions either add effect on the image or enhance the image. We have developed and implemented our system using C/C# programming language on TMS320DM642 (or DM642) board from Texas Instruments (TI). The system was showcased in College of Engineering (CoE) exhibition 2006 at Nanyang Technological University (NTU) and have more than 40 users tried our system. It is demonstrated that our system is adequate for real time image capturing. Our system can be used or applied for applications such as medical imaging, video surveillance, etc.

Proceedings Article | 2 October 2006 Paper

A comparison of global rule induction and HMM approaches on extracting story boundaries in news video

Lekha Chaisorn, Tat-Seng Chua

Proceedings Volume 6391, 63910U (2006) https://doi.org/10.1117/12.682964

KEYWORDS: Video, Light emitting diodes, Lawrencium, Visualization, Data modeling, Feature extraction, Statistical methods, Statistical modeling, Analytical research, Sensors

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Conference Committee Involvement (2)

Multimedia Systems and Applications X

10 September 2007 | Boston, MA, United States

Multimedia Systems and Applications IX

2 October 2006 | Boston, Massachusetts, United States

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