Player number recognition in soccer video using internal contours and temporal redundancy
ICAI'09 Proceedings of the 10th WSEAS international conference on Automation & information
Personalized retrieval of sports video based on multi-modal analysis and user preference acquisition
Multimedia Tools and Applications
Soccer video summarization using enhanced logo detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Video Surveillance Online Repository (ViSOR): an integrated framework
Multimedia Tools and Applications
| Hi-index | 0.00 |
This paper presents multimedia ontologies, where mul- timedia data and traditional textual ontologies are merged. A solution for their implementation for the soccer video do- main and a method to perform automatic soccer video an- notation using these extended ontologies is shown. HSV is a widely adopted space in image and video retrieval, but its quantization for histogram generation can create mislead- ing errors in classification of achromatic and low saturated colors. In this paper we propose an Enhanced HSV His- togram with achromatic point detection based on a single Hue and Saturation parameter that can correct this lim- itation. The more general concepts of the sport domain (e.g. play/break, crowd, etc.) are put in correspondence with the more general visual features of the video like color and texture, while the more specific concepts of the soccer domain (e.g. highlights such as attack actions) are put in correspondence with domain specific visual feature like the soccer playfield and the players. Experimental results for annotation of soccer videos using generic concepts are pre- sented.