| ViGAT: Bottom-Up Event Recognition and Explanation in Video Using Factorized Graph Attention Network | 0 | 0.34 | 2022 |
| A web-based tool for fast instance-level labeling of videos and the creation of spatiotemporal media fragments | 2 | 0.37 | 2017 |
| Video Tomographs and a Base Detector Selection Strategy for Improving Large-Scale Video Concept Detection | 3 | 0.40 | 2014 |
| Temporal Video Segmentation to Scenes Using High-Level Audiovisual Features | 25 | 1.10 | 2011 |
| A comparative study of object-level spatial context techniques for semantic image analysis | 12 | 0.50 | 2011 |
| On the use of audio events for improving video scene segmentation | 12 | 0.64 | 2010 |
| Probabilistic combination of spatial context with visual and co-occurrence information for semantic image analysis | 1 | 0.35 | 2010 |
| A Comparative Study of Classification Techniques for Knowledge-Assisted Image Analysis | 3 | 0.55 | 2008 |
| Combining global and local information for knowledge-assisted image analysis and classification | 21 | 0.93 | 2007 |
| Semantic image analysis using a learning approach and spatial context | 9 | 0.62 | 2006 |
| Knowledge-assisted semantic video object detection | 68 | 3.01 | 2005 |
| An Ontology Framework For Knowledge-Assisted Semantic Video Analysis and Annotation | 15 | 1.07 | 2004 |
| Real-time compressed-domain spatiotemporal segmentation and ontologies for video indexing and retrieval | 76 | 3.91 | 2004 |
| Video object segmentation using Bayes-based temporal tracking and trajectory-based region merging | 37 | 1.64 | 2004 |
| A framework for the efficient segmentation of large-format color images | 9 | 0.84 | 2002 |
