Name
Title | ||
|---|---|---|
Incorporating frequent pattern analysis into multimodal HMM event classification for baseball videos |
Abstract | ||
|---|---|---|
Data mining and frequent pattern analysis have recently become a popular way of discovering new knowledge from a data set. However, it is rarely applied to video semantic analysis. Therefore, this paper introduces two methods: frequent-pattern trained HMM and frequent-pattern tailored HMM to incorporate frequent pattern analysis into multimodal HMM event classification for baseball videos. Besides, different symbol coding methods including temporal sequence coding and co-occurrence symbol coding for multimodal HMM classification are compared. The results of our experiments on baseball video event classification demonstrate that integration of frequent pattern analysis could help to improve event classification performances. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/s11042-015-2447-2 | Multimedia Tools Appl. |
Keywords | Field | DocType |
Multimedia system,Video semantic analysis,Baseball event classification,Interval-based multimodal feature,Temporal sequence symbol coding,Co-occurrence symbol coding,HMM,Data mining,Frequent pattern analysis,Frequent-pattern trained HMM,Frequent-pattern tailored HMM,VOGUE | Pattern recognition,Symbol,Computer science,Pattern analysis,Speech recognition,Coding (social sciences),Artificial intelligence,Multimedia system,Hidden Markov model | Journal |
Volume | Issue | ISSN |
75 | 9 | 1380-7501 |
Citations | PageRank | References |
0 | 0.34 | 42 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hsuan-Sheng Chen | 1 | 115 | 7.36 |
| Wen-Jiin Tsai | 2 | 174 | 19.57 |