A Method for Categorization of Scene through Subscene Recognition using Prototypes

نویسندگان

  • Ashwini Fulkar
  • V. M. Thakre
  • Zhenyu Guo
  • Z. Jane Wang
  • Jianxiong Xiao
  • James Hays
  • Bryan C. Russell
  • Genevieve Patterson
  • Krista A. Ehinger
  • Antonio Torralba
  • Liyuan Li
  • Weixun Goh
  • Joo Hwee Lim
  • Sinno Jialin Pan
  • Lorenzo Seidenari
  • Giuseppe Serra
  • Andrew D. Bagdanov
  • Alberto Del Bimbo
  • Shan-shan Zhu
  • Nelson H. C. Yung
چکیده

The conventional scene categorization methods ignore spatial information within a scene and are not able to discern categories that share similar subscenes but different in layout; or categories that are ambiguous by nature. To address this issue, in this paper a method is proposed to incorporate subscene attributes within global descriptions to improve categorization performance, especially in ambiguity cases. This is done by encoding subscenes with layout prototypes that capture the geometric essence of scenes more accurately and flexibly. The proposed method improves categorization accuracy. the proposed method can detect and evaluate ambiguity images more accurately. In this paper, scene categorization method is

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تاریخ انتشار 2015