计算机科学 ›› 2013, Vol. 40 ›› Issue (7): 258-261.

• 图形图像与模式识别 • 上一篇    下一篇

基于局部视觉感知及语义联想的图像理解模型

周海英,穆志纯   

  1. 北京科技大学自动化学院 北京100083;中北大学电子与计算机科学技术学院 太原030051;北京科技大学自动化学院 北京100083
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家自然科学基金(61170116)资助

Image Understanding Model Based on Local Visual Perception and Semantic Association

ZHOU Hai-ying and MU Zhi-chun   

  • Online:2018-11-16 Published:2018-11-16

摘要: 在视觉感知获得图像视觉信息的基础上,提出了一种自底向上的视觉搜索与自顶向下的语义判定相联系的模型,该模型使图像区域和图像块与图像语义和图像类别之间建立感知联系,模拟注意焦点的移动,通过动眼扫描和搜索图像区域,对感兴趣的内容进行索引和存储,并在任务事件的驱动下进行联想,使图像理解融入了视觉感知和语义解释两个方面,符合人类的认知规律。

关键词: 视觉感知,图像理解,语义联想 中图法分类号TP391.4文献标识码A

Abstract: On the basis of image information from visual perception,a model integrated with bottom up visual searching and top down semantic determining was proposed,establishing a perception contact between image areas or image blocks and image semantic or image categories.Through the scanning and searching for image areas,the moving eyes simulate the movement of the focus of attention to index and memory the interested content so as to produce association under the driving of task events.The model blends two aspects of visual perception and semantic explanation in image understanding,which conforms to the human cognitive law.

Key words: Visual perception,Image understanding,Semantic association

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