@conference {12438,
	title = {The evolution of stochastic grammars for representation and recognition of activities in videos},
	booktitle = {2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops)},
	year = {2011},
	month = {2011/11/06/13},
	pages = {688 - 688},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The speaker is one of the privileged many to have been taught syntactic pattern recognition methods by the Late Prof. K.S. Fu. In this talk, I will discuss the evolution of stochastic image grammars from the early seventies to now with a focus on image and video understanding applications.},
	keywords = {activity recognition, activity representation, Conferences, Educational institutions, Grammar, Image analysis, image recognition, image representation, image understanding, pattern recognition, stochastic image grammars, syntactic pattern recognition methods, video signal processing, video understanding, Videos},
	isbn = {978-1-4673-0062-9},
	doi = {10.1109/ICCVW.2011.6130309},
	author = {Chellapa, Rama}
}
@article {15009,
	title = {Parallel algorithms for image histogramming and connected components with an experimental study (extended abstract)},
	journal = {ACM SIGPLAN Notices},
	volume = {30},
	year = {1995},
	month = {1995/08//},
	pages = {123 - 133},
	abstract = {This paper presents efficient and portable implementations of two useful primitives in image processing algorithms, histogramming and connected components. Our general framework is a single-address space, distributed memory programming model. We use efficient techniques for distributing and coalescing data as well as efficient combinations of task and data parallelism. Our connected components algorithm uses a novel approach for parallel merging which performs drastically limited updating during iterative steps, and concludes with a total consistency update at the final step. The algorithms have been coded in Split-C and run on a variety of platforms. Our experimental results are consistent with the theoretical analysis and provide the best known execution times for  these two primitives, even when compared with machine-specific implementations. More efficient implementations of Split-C will likely result in even faster execution times.},
	keywords = {connected components, histogramming, IMAGE PROCESSING, image understanding, Parallel algorithms, scalable parallel processing},
	isbn = {0362-1340},
	doi = {10.1145/209937.209950},
	url = {http://doi.acm.org/10.1145/209937.209950},
	author = {Bader,David A. and JaJa, Joseph F.}
}
