A magnifier tool for video data
CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Video Retrieval by Feature Learning in Key Frames
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
A Grouping Principle and Four Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
Efficient Key-Frame Extraction and Video Analysis
ITCC '02 Proceedings of the International Conference on Information Technology: Coding and Computing
Joint Key-Frame Extraction and Object-Based Video Segmentation
WACV-MOTION '05 Proceedings of the IEEE Workshop on Motion and Video Computing (WACV/MOTION'05) - Volume 2 - Volume 02
Interactive key frame selection model
Journal of Visual Communication and Image Representation
Key frame selection by motion analysis
ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 02
Concept detection and keyframe extraction using a visual thesaurus
Multimedia Tools and Applications
From Gestalt Theory to Image Analysis: A Probabilistic Approach
From Gestalt Theory to Image Analysis: A Probabilistic Approach
Key frame vector and its application to shot retrieval
IMCE '09 Proceedings of the 1st international workshop on Interactive multimedia for consumer electronics
Equivalent key frames selection based on iso-content principles
IEEE Transactions on Circuits and Systems for Video Technology
Adaptive edge-oriented shot boundary detection
Journal on Image and Video Processing
Scene detection in videos using shot clustering and sequence alignment
IEEE Transactions on Multimedia
Video shot boundary detection: Seven years of TRECVid activity
Computer Vision and Image Understanding
A framework for video abstraction systems analysis and modelling from an operational point of view
Multimedia Tools and Applications
Detection and representation of scenes in videos
IEEE Transactions on Multimedia
Video visualization for compact presentation and fast browsing of pictorial content
IEEE Transactions on Circuits and Systems for Video Technology
A novel video key-frame-extraction algorithm based on perceived motion energy model
IEEE Transactions on Circuits and Systems for Video Technology
Key Frame Estimation in Video Using Randomness Measure of Feature Point Pattern
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper decision variables for the key-frame detection problem in a video are evaluated using statistical tools derived from the theory of design of experiments. The pixel-by-pixel intensity difference of consecutive video frames is used as the factor or decision variable for designing an experiment for key-frame detection. The determination of a key-frame is correlated with the different values of the factor. A novel concept of meaningfulness of a video key-frame is also introduced to select the representative key-frame from a set of possible key-frames. The use of the concepts of design of experiments and the meaningfulness property to summarize a video is tested using a number of videos taken from MUSCLE-VCD-2007 dataset. The performance of the proposed approach in detecting key-frames is found to be superior in comparison to the competing approaches like PME based method (Liu et al., IEEE Trans Circuits Syst Video Technol 13(10):1006---1013, 2003; Mukherjee et al., IEEE Trans Circuits Syst Video Technol 17(5):612---620, 2007; Panagiotakis et al., IEEE Trans Circuits Syst Video Technol 19(3):447---451, 2009).