This paper attempts to bridge this gap through the integration of image/video analysis algorithms with multi-level semantic network to interpret the baseball ...

This paper proposes a semantic highlight detection scheme using a Multi-level Semantic Network (MSN) for baseball video interpretation. The probabilistic ...

This paper attempts to bridge this gap through the integration of imageivideo analysis algorithms with multi-level semantic network to interpret the baseball ...

MSN: statistical understanding of broadcasted baseball video using multi-level semantic network ... A semantic network modeling for understanding baseball video.

This paper proposes a semantic highlight detection scheme using a Multi-level Semantic Network (MSN) for baseball video interpretation. The probabilistic ...

Here, eight semantic scene classes were predefined for baseball videos. First, an effective shot boundary detection scheme based on scalable color histogram was ...

Missing: baseball | Show results with:baseball

Abstract—The information processing of sports video yields valuable semantics for content delivery over narrowband net- works. Traditional image/video ...

Semantic event detection in baseball videos based on a multi-output hidden Markov model · Computer Science. ACM Symposium on Applied Computing · 2011.

In this paper, we propose a multimodal multilayer statistical inference framework for semantic sports video analysis using. Dynamic Bayesian Networks (DBNs).