Lam Chian Prong
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Publication Inference and retrieval of facial images(1994-06) Wu, J.K.; Ang, Y.H.; Lam, P.; Loh, H.H.; Narasimhalu, A.D.; INSTITUTE OF SYSTEMS SCIENCEAttempts have been made to extend SQL to work with multimedia databases. We are reserved on the representation ability of extended SQL to cope with the richness in content of multimedia data. In this paper we present an example of a multimedia database system, Computer Aided Facial Image Inference and Retrieval system (CAFIIR). The system stores and manages facial images and criminal records, providing necessary functions for crime identification. We would like to demonstrate some core techniques for multimedia database with CAFIIR system. Firstly, CAFIIR is a integrated system. Besides database management, there are image analysis, image composition, image aging, and report generation subsystems, providing means for problem solving. Secondly, the richness of multimedia data urges feature-based database for their management. CAFIIR is feature-based. A indexing mechanism, iconic index, has been proposed for indexing facial images using hierarchical self-organization neural network. The indexing method operates on complex feature measures and provides means for visual navigation. Thirdly, special retrieval methods for facial images have been developed, including visual browsing, similarity retrieval, free text retrieval and fuzzy retrieval. © 1994 Springer-Verlag.Publication A high resolution 3-D surface profiling system(1990) Srinivasan, V.; Ong, S.H.; Lam, C.P.; ELECTRICAL ENGINEERINGAn improved version of the structured sine wave illuminated three-dimensional vision system has been developed in order to obtain high depth resolution. Errors generated by local imperfections in the sine wave grating have been compensated for in order to achieve this resolution. The method uses a collimated laser beam for illumination of the surface. It is sinusoidally intensity modulated along a transverse direction by a grating. An image of the surface is recorded by a camera placed at an angle with respect to the incident laser beam. The depth change of the surface from pixel to pixel, measured by phase modulation of the sinusoidal intensity distribution. Test measurements made on several sample objects show that a depth resolution better than 0.05 mm is achievable.Publication CORE: a content-based retrieval engine for multimedia information systems(1995-02) Wu, J.K.; Narasimhalu, A.D.; Mehtre, B.M.; Lam, C.P.; Gao, Y.J.; INSTITUTE OF SYSTEMS SCIENCERapid advances in multimedia technology necessitate the development of a generic multimedia information system with a powerful retrieval engine for prototyping multimedia applications. We develop a content-based retrieval engine (CORE) that makes use of novel indexing techniques for multimedia object retrieval. We formalize the concepts related to multimedia information systems such as multimedia objects and content-based retrieval. We bring out the requirements and challenges of a multimedia information system. The architecture of CORE is described in detail along with the associated retrieval mechanisms and indexing techniques. Various modules developed for efficient retrieval are presented with some APIs. The efficacy of CORE is demonstrated in the development of two multimedia systems, a computer-aided facial image inference and retrieval (CAFIIR) system and a system for trademark archival and retrieval (STAR), which have been developed at the Institute of Systems Science (ISS). We expect that CORE will be useful for effective prototyping of other such multimedia applications. © 1995 Springer-Verlag.Publication Facial image retrieval, identification, and inference system(1993) Wu, J.K.; Ang, Y.H.; Lam, P.C.; Moorthy, S.K.; Narasimhalu, A.D.; INSTITUTE OF SYSTEMS SCIENCERecognition of a human face is very easy even to a child, but is extremely difficult for computers. Here we present a Computer Aided Facial Image Identification, Retrieval and Inference System (CAFIIRIS) for criminal identification. The system stores and manages facial images and criminal records, providing necessary image and text processing, and editing tools. Inference of facial images of different ages of a person is also possible. Access to facial images can be done via key words, fuzzy descriptions, and visual browsing. A facial image database system stores and manages a large amount of facial images together with text-based criminal record. It provides users with a flexible means to manipulate, archive, retrieve, and make use of facial images and text data. The facial images are visual rather than descriptive. Each digital image is a large array of pixels of various sizes, and a facial image database contains thousands or even hundred thousands of images. Therefore, this huge visual database needs special techniques for its management, namely, embedded functions for image pre-processing, feature extraction, presentation (screen display and report formatter); visual access to image data via special indexing techniques; application-specific image inference to derive new images based on images and other available information.Publication Evaluation of feature measures and similarity measures for content-based retrieval(1995) Wu, Jiankang; Lam, Chianprong; Senthilkumar, G.; INSTITUTE OF SYSTEMS SCIENCEEvaluation is a critical issue in any information systems. This problem has become more and more important with the rapid development of multimedia systems. Feature measures and similarity measures play a central role in content-based retrieval. Evaluation of their effectiveness and efficiency then become a key issue in assessing the performance of a content-based multimedia system. A learning algorithm has been studied to find a suitable and hopefully the best similarity function for a given set of feature measure and a given set of training data set.