Title :
A robust video synchronization method based on hierarchical shot detection
Author :
Chalamala, Srinivasa Rao ; Kakkirala, Krishna ; Dhillon, Jyoti
Author_Institution :
TCS Innovation Labs., TATA Consultancy Services, Hyderabad, India
Abstract :
We propose an video synchronization method using hierarchical video shot detection process to match two videos when one of them is modified at unknown locations. The shots include both abrupt and gradual transitions (dissolves and fade-groups). The philosophy of this method is to use a light weight method to pre-process the video to remove those frames which strictly does not comprise a normal scene and may contribute to fade-in, fade-out or dissolve areas. These frames are further processed by a complex and robust shot detection method to find the exact shot boundaries. We used object (contour) matching as a pre-processing step and SURF features on top of it for robust shot detection even in fade-in, fade-out or dissolve areas of the scene. Once all the shots are correctly found then the shot-boundaries are matched to identify the point of videos synchronization.
Keywords :
image matching; object detection; synchronisation; video signal processing; complex shot detection; contour matching; hierarchical video shot detection; normal scene; object matching; robust shot detection; robust video synchronization; shot boundaries; unknown locations; Accuracy; Cameras; Color; Feature extraction; Image edge detection; Robustness; Synchronization; Contour features; SURF features; Shot detection; dissolve; fade-in; fade-out;
Conference_Titel :
Audio, Language and Image Processing (ICALIP), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-3902-2
DOI :
10.1109/ICALIP.2014.7009787