Virtual video editing in interactive multimedia applications
Communications of the ACM
IMPACT: an interactive natural-motion-picture dedicated multimedia authoring system
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Video handling based on structured information for hypermedia systems
International conference on Multimedia information systems '91
Salient video stills: content and context preserved
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Projection detecting filter for video cut detection
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Panoramic overviews for navigating real-world scenes
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
VideoMAP and VideoSpaceIcon: tools for anatomizing video content
CHI '93 Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in Computing Systems
An intuitive and efficient access interface to real-time incoming video based on automatic indexing
Proceedings of the third ACM international conference on Multimedia
Surfing the movie space: advanced navigation in movie-only hypermedia
Proceedings of the third ACM international conference on Multimedia
PanoramaExcerpts: extracting and packing panoramas for video browsing
MULTIMEDIA '97 Proceedings of the fifth ACM international conference on Multimedia
CyberCoaster: Polygonal line shaped slider interface to spatio-temporal media
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 2)
VisualGREP: A Systematic Method to Compare and RetrieveVideo Sequences
Multimedia Tools and Applications
Hybrid Rule-Based/Neural Approach for Segmentation of MPEG Compressed Video
Multimedia Tools and Applications
Video Handling with Music and Speech Detection
IEEE MultiMedia
Data Semantics for Improving Retrieval Performance of Digital News Video Systems
IEEE Transactions on Knowledge and Data Engineering
Camera operation estimation algorithm using low level vision in digital video
MOAS'07 Proceedings of the 18th conference on Proceedings of the 18th IASTED International Conference: modelling and simulation
Temporal normalization of videos using visual speech
MiFor '09 Proceedings of the First ACM workshop on Multimedia in forensics
Camera operation estimation algorithm using low level vision in digital video
MS '07 The 18th IASTED International Conference on Modelling and Simulation
An analysis of independence of video signatures based on tomography
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Video identification using video tomography
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
Rendition-based video editing for public contents authoring
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
BIOFACE: a biometric face demonstrator
Proceedings of the international conference on Multimedia
Audio-visual grouplet: temporal audio-visual interactions for general video concept classification
MM '11 Proceedings of the 19th ACM international conference on Multimedia
A 2DPCA-Based video watermarking scheme for resistance to temporal desynchronization
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
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This paper proposes a new, efficient and practical way to extract lens zoom, camera pan and camera tilt information using modified motion analysis. The proposed method is called the Video Tomography Method (VTM), in which tomographic techniques are introduced into a motion estimation algorithm. By using the VTM, one is able to visualize motion as a spatiotemporal flow for motion analysis. The VTM is an extremely robust [resistant to noise] method for estimating camera operation due to its tomographic nature. The practicality of this type of motion estimation and analysis is confirmed by the results of our simulations and experiments in testing the prototype platform with a low quality video source. Other possible applications that might use extracted motion data are discussed. This method is targeted towards video handling applications that attribute extracted motion data into a video index. It will enhance the process of editing and browsing structured video, and will allow the visualization of scenes spatiotemporally so that video may be accessed intuitively and spatially in relation to its temporal location. This type of access is a new interface for structured video. Scene reconstruction techniques can be extended to apply to the problem of reconstructing occluded images and resolution enhancement.