Semantic model vectors for complex video event recognition
Date
2012
Authors
Merler, Michele
Huang, Bert
Xie, Lexing
Hua, Gang
Natsev, Apostol
Journal Title
Journal ISSN
Volume Title
Publisher
Institute of Electrical and Electronics Engineers (IEEE Inc)
Abstract
We propose semantic model vectors, an intermediate level semantic representation, as a basis for modeling and detecting complex events in unconstrained real-world videos, such as those from YouTube. The semantic model vectors are extracted using a set of
Description
Keywords
Keywords: Clip level; Descriptors; Empirical studies; Event detection; Event recognition; Feature fusion; Intermediate level; Semantic Model; Semantic representation; Spatio-temporal; Static features; SVM model; TRECVID; Video events; Web images; YouTube; Image ret Complex video events; event recognition; high-level descriptor
Citation
Collections
Source
IEEE Transactions on Multimedia
Type
Journal article