Saliency model-based face segmentation and tracking in head-and-shoulder video sequences
Journal of Visual Communication and Image Representation
Adaptive edge-oriented shot boundary detection
Journal on Image and Video Processing
Video shot segmentation using graph-based dominant-set clustering
Proceedings of the First International Conference on Internet Multimedia Computing and Service
Vlogging: A survey of videoblogging technology on the web
ACM Computing Surveys (CSUR)
Video temporal segmentation using support vector machine
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Shot boundary detection based on supervised locality preserving projections and KNN-SVM classifier
CAR'10 Proceedings of the 2nd international Asia conference on Informatics in control, automation and robotics - Volume 1
A study of gradual transition detection in historic film material
Proceedings of the second workshop on eHeritage and digital art preservation
A unified scheme of shot boundary detection and anchor shot detection in news video story parsing
Multimedia Tools and Applications
A non parametric shot boundary detection: an eigen gap based approach
COMPUTE '11 Proceedings of the Fourth Annual ACM Bangalore Conference
Multimedia Tools and Applications
Gradual transition detection in historic film material—a systematic study
Journal on Computing and Cultural Heritage (JOCCH)
3D information extraction using Region-based Deformable Net for monocular robot navigation
Journal of Visual Communication and Image Representation
Towards heterogeneous temporal clinical event pattern discovery: a convolutional approach
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
A robust and efficient shot boundary detection approach based on fisher criterion
Proceedings of the 20th ACM international conference on Multimedia
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We present a general approach to temporal media segmentation using supervised classification. Given standard low-level features representing each time sample, we build intermediate features via pairwise similarity. The intermediate features comprehensively characterize local temporal structure, and are input to an efficient supervised classifier to identify shot boundaries. We integrate discriminative feature selection based on mutual information to enhance performance and reduce processing requirements. Experimental results using large-scale test sets provided by the TRECVID evaluations for abrupt and gradual shot boundary detection are presented, demonstrating excellent performance