Sun et al., 2011 - Google Patents
Automatic annotation of web videosSun et al., 2011
View PDF- Document ID
- 9141640183907171790
- Author
- Sun S
- Wang Y
- Hung Y
- Chang C
- Chen K
- Cheng S
- Wang H
- Liao H
- Publication year
- Publication venue
- 2011 IEEE International Conference on Multimedia and Expo
External Links
Snippet
Most Web videos are captured in uncontrolled environments (eg videos captured by freely- moving cameras with low resolution); this makes automatic video annotation very difficult. To address this problem, we present a robust moving foreground object detection method …
- 230000000007 visual effect 0 abstract description 21
Classifications
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00711—Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
- G06K9/00718—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
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- G—PHYSICS
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- G06K9/00362—Recognising human body or animal bodies, e.g. vehicle occupant, pedestrian; Recognising body parts, e.g. hand
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