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Paisarn Muneesawang :
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Paisarn Muneesawang , Ling Guan Video retrieval using an adaptive video indexing technique and automatic relevance feedback. [Citation Graph (0, 0)][DBLP ] IEEE Workshop on Multimedia Signal Processing, 2002, pp:220-223 [Conf ] Paisarn Muneesawang , Ling Guan Multiresolution-Histogram Indexing and Relevance Feedback Learning for Image Retrieval. [Citation Graph (0, 0)][DBLP ] ICIP, 2000, pp:- [Conf ] Paisarn Muneesawang , Ling Guan Automatic similarity learning using SOTM for CBIR of the WT/VQ coded images. [Citation Graph (0, 0)][DBLP ] ICIP (2), 2001, pp:749-752 [Conf ] Paisarn Muneesawang , Ling Guan Minimizing user interaction by automatic and semi-automatic relevance feedback for image retrieval. [Citation Graph (0, 0)][DBLP ] ICIP (2), 2002, pp:601-604 [Conf ] Paisarn Muneesawang , Ling Guan iARM -an interactive video retrieval system. [Citation Graph (0, 0)][DBLP ] ICME, 2004, pp:285-288 [Conf ] Paisarn Muneesawang , Tahir Amin , Ling Guan Audio Visual Cues for Video Indexing and Retrieval. [Citation Graph (0, 0)][DBLP ] PCM (1), 2004, pp:642-649 [Conf ] Paisarn Muneesawang , Ling Guan An interactive approach for CBIR using a network of radial basis functions. [Citation Graph (0, 0)][DBLP ] IEEE Transactions on Multimedia, 2004, v:6, n:5, pp:703-716 [Journal ] Multimedia multimodal methodologies. [Citation Graph (, )][DBLP ] Reducing Manual Feedback in a Distributed CBIR System. [Citation Graph (, )][DBLP ] Search in 0.001secs, Finished in 0.002secs