Suzanne Little
Suzanne Little
School of Computing, Dublin City University
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Citata da
Citata da
Dynamic generation of intelligent multimedia presentations through semantic inferencing
S Little, J Geurts, J Hunter
International Conference on Theory and Practice of Digital Libraries, 158-175, 2002
Fully Convolutional Crowd Counting On Highly Congested Scenes
M Marsden, K McGuiness, S Little, NE O'Connor
12th International Joint Conference on Computer Vision, Imaging and Computer …, 2017
Evaluating the application of semantic inferencing rules to image annotation
L Hollink, S Little, J Hunter
Proceedings of the 3rd international conference on Knowledge capture, 91-98, 2005
Realizing the hydrogen economy through semantic web technologies
J Hunter, J Drennan, S Little
IEEE Intelligent Systems 19 (1), 40-47, 2004
Mpeg-7 based multimedia ontologies: Interoperability support or interoperability issue
R Troncy, O Celma, S Little, R Garcia, C Tsinaraki
1st international workshop on multimedia annotation and retrieval enabled by …, 2007
ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification
M Marsden, K McGuinness, S Little, NE O'Connor
2017 14th IEEE International Conference on Advanced Video and Signal Based …, 2017
Rules-by-example–a novel approach to semantic indexing and querying of images
S Little, J Hunter
International Semantic Web Conference, 534-548, 2004
Building and indexing a distributed multimedia presentation archive using SMIL
J Hunter, S Little
International Conference on Theory and Practice of Digital Libraries, 415-428, 2001
“Colearning”-collaborative networks for creating, sharing and reusing OER through social media
A Okada, A Mikroyannidis, I Meister, S Little
Holistic features for real-time crowd behaviour anomaly detection
M Marsden, K McGuinness, S Little, NE O'Connor
2016 IEEE International Conference on Image Processing (ICIP), 918-922, 2016
An information retrieval approach to identifying infrequent events in surveillance video
S Little, I Jargalsaikhan, K Clawson, M Nieto, H Li, C Direkoglu, ...
Proceedings of the 3rd ACM conference on International conference on …, 2013
Next Generation Search Interfaces–Interactive Data Exploration and Hypothesis Formulation
J Hunter, K Falkovych, S Little
International Conference on Theory and Practice of Digital Libraries, 86-98, 2004
A deep residual architecture for skin lesion segmentation
GM Venkatesh, YG Naresh, S Little, NE O’Connor
OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy …, 2018
People, penguins and petri dishes: Adapting object counting models to new visual domains and object types without forgetting
M Marsden, K McGuinness, S Little, CE Keogh, NE O'Connor
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
A framework to enable the semantic inferencing and querying of multimedia content
J Hunter, S Little
International Journal of Web Engineering and Technology 2 (2-3), 264-286, 2005
Action recognition based on sparse motion trajectories
I Jargalsaikhan, S Little, C Direkoglu, NE O'Connor
2013 IEEE International Conference on Image Processing, 3982-3985, 2013
MultiMedia Metadata Management: a Proposal for an Infrastructure.
P Asirelli, S Little, M Martinelli, O Salvetti
SWAP, 2006
Supporting the collaborative adaptation of open educational resources: The OpenScout Tool Library
A Mikroyannidis, A Okada, S Little, T Connolly
EdMedia+ Innovate Learning, 3734-3739, 2011
The impact of video transcoding parameters on event detection for surveillance systems
E Kafetzakis, C Xilouris, MA Kourtis, M Nieto, I Jargalsaikhan, S Little
2013 IEEE International Symposium on Multimedia, 333-338, 2013
Finding and reusing learning materials with multimedia similarity search and social networks
S Little, R Ferguson, S Rüger
Technology, Pedagogy and Education 21 (2), 255-271, 2012
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