Multilayer feedforward networks are universal approximators
Neural Networks
Automatic symbolic traffic scene analysis using belief networks
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
A framework for multiple-instance learning
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
Event Detection and Analysis from Video Streams
IEEE Transactions on Pattern Analysis and Machine Intelligence
Time Series Prediction and Neural Networks
Journal of Intelligent and Robotic Systems
MindReader: Querying Databases Through Multiple Examples
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Unsupervised event discrimination based on nonlinear temporal modeling of activity content
Pattern Analysis & Applications
Neural networks for event extraction from time series: a back propagation algorithm approach
Future Generation Computer Systems
Behaviour Understanding in Video: A Combined Method
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
A regularization framework for multiple-instance learning
ICML '06 Proceedings of the 23rd international conference on Machine learning
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
ICDEW '07 Proceedings of the 2007 IEEE 23rd International Conference on Data Engineering Workshop
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Image Processing
Relevance feedback: a power tool for interactive content-based image retrieval
IEEE Transactions on Circuits and Systems for Video Technology
G3P-MI: A genetic programming algorithm for multiple instance learning
Information Sciences: an International Journal
HyDR-MI: A hybrid algorithm to reduce dimensionality in multiple instance learning
Information Sciences: an International Journal
Client-Side Relevance Feedback Approach for Image Retrieval in Mobile Environment
International Journal of Multimedia Data Engineering & Management
Rule-Based Semantic Concept Classification from Large-Scale Video Collections
International Journal of Multimedia Data Engineering & Management
Hi-index | 0.00 |
This paper proposes a human-centered interactive framework for automatically mining and retrieving semantic events in videos. After preprocessing, the object trajectories and event models are fed into the core components of the framework for learning and retrieval. As trajectories are spatiotemporal in nature, the learning component is designed to analyze time series data. The human feedback to the retrieval results provides progressive guidance for the retrieval component in the framework. The retrieval results are in the form of video sequences instead of contained trajectories for user convenience. Thus, the trajectories are not directly labeled by the feedback as required by the training algorithm. A mapping between semantic video retrieval and multiple instance learning (MIL) is established in order to solve this problem. The effectiveness of the algorithm is demonstrated by experiments on real-life transportation surveillance videos.