Title
Temporal Modeling of Slide Change in Presentation Videos
Abstract
We develop a general framework to automatically match electronic slides to the videos of the corresponding presentations. The synchronized slides support indexing and browsing of educational and corporate digital video libraries. Our approach extends previous work that matches slides based on visual features alone, and integrates multiple cues to further improve performance in more difficult cases. We model slide change in a presentation with a dynamic hidden Markov model (HMM) that captures the temporal notion of slide change and whose transition probabilities are adapted locally by using the camera events in the inference process. Our results show that combining multiple cues in a state model can greatly improve the performance in ambiguous cases.
Year
DOI
Venue
2007
10.1109/ICASSP.2007.366076
ICASSP (1)
Keywords
Field
DocType
dynamic hidden markov model,video signal processing,presentation videos,image matching,inference process,hmm,digital video libraries,cameras,electronic slides,visual features,image sequences,slide change,algorithm,temporal modeling,hidden markov models,indexing,transition probability,hidden markov model,switches,computer science,layout
Computer vision,Digital video,Pattern recognition,Inference,Image matching,Computer science,Search engine indexing,State model,Artificial intelligence,Temporal modeling,Hidden Markov model
Conference
Volume
ISSN
ISBN
1
1520-6149
1-4244-0727-3
Citations 
PageRank 
References 
10
0.76
5
Authors
5
Name
Order
Citations
PageRank
Quanfu Fan150432.69
Arnon Amir275169.90
K. Barnard32564269.41
Ranjini Swaminathan4354.95
Alon Efrat5131293.92