Years


Keywords



2009 - 14 Publications


#93: M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman

Semantic concept mining based on hierarchical event detection for soccer video indexing

J. Multimedia, Volume 4, pgs. 298--312, 2009

fmv, motion, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#92: F. Bunyak, K. Palaniappan, V. Chagin, and M. C. Cardoso

Cell segmentation in time-lapse fluorescence microscopy with temporally varying sub-cellular fusion protein patterns

31st IEEE Engineering in Medicine and Biology Society Conf. (EMBC), pgs. 1--5, 2009

cell detection, cell segmentation, cell tracking, features, texture, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#91: F. Bunyak and K. Palaniappan

Level set-based fast multi-phase graph partitioning active contours using constant memory

Lecture Notes in Computer Science (ACIVS), Volume 5807, pgs. 145--155, 2009

detection, segmentation, active contours, motion, classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#90: S. K. Nath and K. Palaniappan

Fast graph partitioning active contours for image segmentation using histograms

EURASIP Journal on Image and Video Processing, pgs. 9p, 2009

detection, segmentation, active contours, motion, classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#89: A. Mosig, S. Jaeger, W. Chaofeng, I. Ersoy, S. K. Nath, K. Palaniappan, and S. Chen

Tracking cells in live cell imaging videos using topological alignments

Algorithms in Molecular Biology, Volume 4, pgs. 10p, 2009

cell detection, cell segmentation, cell tracking, features, biomedical

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#88: F. Bunyak and K. Palaniappan

Efficient segmentation using feature-based graph partitioning active contours

12th IEEE Int. Conf. Computer Vision, pgs. 873--880, 2009

detection, segmentation, active contours, motion, classification

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#87: P. Kumar, K. Palaniappan, A. Mittal, and G. Seetharaman

Parallel blob extraction using the multi-core Cell processor

Lecture Notes in Computer Science (ACIVS), Volume 5807, pgs. 320--332, 2009

parallelization, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#86: S. Mehta, A. Misra, A. Singhal, P. Kumar, A. Mittal, and K. Palaniappan

Parallel implementation of video surveillance algorithms on GPU architectures using CUDA

17th IEEE Int. Conf. Advanced Computing and Communications (ADCOM), 2009

parallelization, gpu, tracking, fmv, motion, features, dod

Abstract, Bibtex, PlainText, PDF, Google Scholar
#85: A. Hafiane, F. Bunyak, and K. Palaniappan

Evaluation of level set-based histology image segmentation using geometric region criteria

IEEE Int. Symposium on Biomedical Imaging (ISBI), 2009

histopathology, active contours, classification, segmentation, features, texture, biomedical

Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#84: K. Palaniappan, I. Ersoy, A. Hafiane, and G. Seetharaman

Moving object detection in UAV-video using flux tensors

IEEE Int. Geoscience and Remote Sensing Symposium, 2009

wami, tracking, fmv, registration, motion, fusion, dod

Bibtex, PlainText, Google Scholar
#83: B. Shen, W. Tao, J. Chern, R. Atlas, and K. Palaniappan

Scalability improvements in the NASA Goddard Multiscale Modeling Framework for tropical cyclone climate studies

Proc. 10th Int. Conf. for High-Performance Computing in ASIA-Pacific Region, 2009

visualization, parallelization, features, motion, cloud

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#82: M. H. Kolekar, K. Palaniappan, S. Sengupta, and G. Seetharaman

Event detection and semantic identification using Bayesian belief networks

IEEE Int. Conf. Computer Vision Workshops, pgs. 554--561, 2009

fmv, motion, features, fusion, visual events, data mining, cbir

Abstract, Bibtex, PlainText, PDF, URL, DOI, Google Scholar
#81: I. Ersoy, F. Bunyak, V. Chagin, M. C. Cardoso, and K. Palaniappan

Segmentation and classification of cell cycle phases in fluorescence imaging

Lecture Notes in Computer Science (MICCAI), Volume 5762, pgs. 617--624, 2009

cell detection, cell segmentation, cell classification, features, texture, machine learning, data mining, biomedical

Abstract, Bibtex, PlainText, PDF, PubMed, DOI, Google Scholar
#80: K. Palaniappan, F. Bunyak, S. Nath, and J. Goffeney

Parallel processing strategies for cell motility and shape analysis

High-Throughput Image Reconstruction and Analysis, Artech House Publishers, pgs. 39--85, 2009

parallelization, gpu, cell detection, cell segmentation, cell tracking, machine learning, biomedical

Abstract, Bibtex, PlainText, PDF, Google Scholar