Replay-Based Soccer Video Highlights Detection
|School||Huazhong University of Science and Technology|
|Course||Applied Computer Technology|
|Keywords||Event Detection Playback scenes Emotional motivation model Goal detection|
Due to the presence of the the Internet Shanghai amount of soccer video , fast-paced life makes most concerned by the user , not how to transfer and play all the games , but out of concern their own interesting or exciting video clips . Therefore, how to analyze a football video content to meet the needs of different equipment , different needs of the audience has a very important significance . Extraction and semantic event detection method based on systematic analysis of soccer video shots , playback scene and goal detection , an effective solution to the existing emotional incentive model can not respond well to the intensity of the game , the wonderful lens positioning and event detection enough ideal problem. Shot boundary detection , improved shear and gradient lenses discriminant proposed shot boundary detection algorithm based on statistical methods to confirm the gradual football . Playback scene detection based Logo Logo access : for convert video movement characteristics Logo , the similarity by motion vector the contrast automatically obtain Logo pixels set ; conversion complex video , design for Logo only need a small amount of interaction can be extracted Logo pixel set handy tool . On the detection of the goal , there is constructed a feature vector containing the goalpost width , and using SVM recognition goal image . Through the playback scene features improved emotional incentive model , and the short, medium and long three different shots boundary location . To achieve a goal , shot and foul event rules wonderful lens semantic event detection and the emotional excitation curve and event detection applied to search net . Experimental results show that the proposed playback scene detection methods have very high recall rate and accuracy . The playback scene features emotional excitation curve more accurately reflects the fierce football game , semantic event detection , especially scoring event , has a higher recall rate and accuracy . However , for some special playback effects require further processing , the rules of the shot and foul events need to be further strengthened in order to improve the recognition accuracy .