基于内容的图象检索及其相关技术的研究

CONTENT BASED IMAGE RETRIEVAL AND RELATED TECHNIQUES

  • 摘要: 基于内容的图象检索技术,即从大量的静止或活动视频图象库中检索包含目标物体的图象(或视频片段),在高度信息化的今天,已成为内容图象库中图象信息组织和管理不可缺少的技术.本文介绍了基于内容检索技术的进展,并对其主要方法如基于颜色、形状、纹理等静止图象检索技术和片段检测、拼接、主运动估计和层描述等视频检索技术进行了讨论.

     

    Abstract: CBIR(Content Based Image Retrieval) which indexes images or video shots desired from large image or video library, is becoming a more and more important technique in large image database organization and management. In this paper, we reviewed the development of CBIR and discussed some main techniques of CBIR, including color index, shape index, texture index (which are used in image retrieval) and shot detection, mosaic, dominant motion estimation and layered representation (which are used in video retrieval).

     

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