Robust scene recognition using language models for scene contexts
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
A fusion architecture based on TBM for camera motion classification
Image and Vision Computing
A robust scene recognition system for baseball broadcast using data-driven approach
Proceedings of the 6th ACM international conference on Image and video retrieval
Parallel neural networks for multimodal video genre classification
Multimedia Tools and Applications
Automatic sports genre categorization and view-type classification over large-scale dataset
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Taxonomy of directing semantics for film shot classification
IEEE Transactions on Circuits and Systems for Video Technology
Sports classification using cross-ratio histograms
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part II
Automatic score scene detection for baseball video
LKR'08 Proceedings of the 3rd international conference on Large-scale knowledge resources: construction and application
Multimedia Tools and Applications
Automatic video genre categorization and event detection techniques on large-scale sports data
Proceedings of the 2010 Conference of the Center for Advanced Studies on Collaborative Research
Content-based intelligent video recorder with its implementation on sports video
Proceedings of the Third International Conference on Internet Multimedia Computing and Service
A Generic Approach for Systematic Analysis of Sports Videos
ACM Transactions on Intelligent Systems and Technology (TIST)
Sports video classification using bag of words model
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part III
Sports knowledge management and data mining
Annual Review of Information Science and Technology
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In this paper, we propose a content based video categorizing method focusing broadcasted sports videos using camera motion parameters. We define two new features in the proposed method; "camera motion extraction ratio" and "camera motion transition". Camera motion parameters in the video sequence contain very significant information for categorization of broadcasted sports video, because in most of sports video, camera motions are closely related to the actions taken in the sports, which are mostly based on a certain rule depending on types of sports. Based on the characteristics, we design a sports video categorization algorithm for identifying 6 major different sports types. In our algorithm, the features automatically extracted from videos are analyzed in a statistical manner. The experimental results show a clear tendency the applicability of the proposed method for sports genre identification.