Semantic Co-segmentation in Videos

  title={Semantic Co-segmentation in Videos},
  author={Yi-Hsuan Tsai and Guangyu Zhong and Ming-Hsuan Yang},
Discovering and segmenting objects in videos is a challenging task due to large variations of objects in appearances, deformed shapes and cluttered backgrounds. In this paper, we propose to segment objects and understand their visual semantics from a collection of videos that link to each other, which we refer to as semantic co-segmentation. Without any prior knowledge on videos, we first extract semantic objects and utilize a tracking-based approach to generate multiple object-like tracklets… CONTINUE READING
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