Learning control strategies for object recognition
Symbolic visual learning
A Model of Saliency-Based Visual Attention for Rapid Scene Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual information retrieval
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
Example-Based Object Detection in Images by Components
IEEE Transactions on Pattern Analysis and Machine Intelligence
Semantic Annotation of Sports Videos
IEEE MultiMedia
Perceptual Components for Context Aware Computing
UbiComp '02 Proceedings of the 4th international conference on Ubiquitous Computing
Bayesian Framework for Video Surveillance Application
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Learning Temporal Context in Active Object Recognition Using Bayesian Analysis
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Transinformation for Active Object Recognition
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
A probabilistic framework for semantic video indexing, filtering,and retrieval
IEEE Transactions on Multimedia
Searching Eye Centers Using a Context-Based Neural Network
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Part II--Advances in Neural Networks
Rapid object recognition from discriminative regions of interest
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Single vs. population cell coding: gaze movement control in target search
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Predictive visual context in object detection
CONTEXT'03 Proceedings of the 4th international and interdisciplinary conference on Modeling and using context
Predicting detection events from Bayesian scene recognition
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Learning contextual rules for priming object categories in images
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Attentive object detection using an information theoretic saliency measure
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
| Hi-index | 0.00 |
The past few years have seen a dramatic request for semantic video analysis. Object based interpretation in real-time imposes increased challenges on resource management to maintain sufficient quality of service, and requires careful design of the system architecture. This paper focuses on the role of context for system performance in a multi-stage object detection process. We extract context from simple features to determine regions of interest, provide an innovative method to identify the object's topology from local object features, and we outline the concept for a correspondingly structured system architecture. Performance implications are analysed with reference to the application of logo detection in sport broadcasts and provide evidence for the crucial improvements achieved from context information.