Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Construction and Evaluation of a Robust Multifeature Speech/Music Discriminator
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97)-Volume 2 - Volume 2
Creating audio keywords for event detection in soccer video
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 1
Audio Signal Classification Based on Optimal Wavelet and Support Vector Machine
ICCIMA '07 Proceedings of the International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) - Volume 02
Audio keywords generation for sports video analysis
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
Real-time highlight detection in baseball video for TVs with time-shift function
IEEE Transactions on Consumer Electronics
| Hi-index | 0.00 |
Automatic audio information retrieval is facing great challenge due to the advances of information technology, more and more digital audio, images and video are being captured, produced and stored. To develop an automatic audio signal classification for a large dataset, building audio classifier is still challenging in existing work. In this proposed system we combine the two classifiers, SVM and decision tree, to classify the video information. To classify the audio information by using decision tree, the SVM is applied as a decision for feature selection. The aim is to achieve high accuracy in classifying of mixed types audio by combining two types of classifiers. In this proposed system four audio classes are considered and this classification and analysis is intended to analyze the structure of the sports video. Soccer videos are experimented in this system and experimental study indicates that the proposed framework can produce satisfactory results.