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Kim et al., 2014 - Google Patents

Improvement of saliency map using motion information

Kim et al., 2014

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Document ID
14307717705820116618
Author
Kim S
Kim M
Publication year
Publication venue
Proceedings of the Korean Society of Broadcast Engineers Conference

External Links

Snippet

본 논문에서는 영상에 존재하는 운동정보를 이용하여 관심맵을 얻는 방법을 제안한다. 운동의 크기, 방향, 그리고 영상의 색을 이용한다. 이를 이용함으로써 기존의 static image 에서 구하는 관심맵보다 향상된 결과를 얻을 수 있다. 실험에서는 다양한 모션이 존재하는 영상을 이용하여 …
Continue reading at koreascience.kr (PDF) (other versions)

Classifications

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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
    • G—PHYSICS
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    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
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