首页> 外文会议>International Conference on Artificial Intelligence and Pattern Recognition >A Framework Integrating Signal/Semantic Visual Characterizations for Conceptual Video Retrieval
【24h】

A Framework Integrating Signal/Semantic Visual Characterizations for Conceptual Video Retrieval

机译:概念视频检索的信号/语义视觉表征的框架

获取原文

摘要

Most of the video indexing and retrieval systems suffer from the lack of a comprehensive video model capturing the image semantic richness, the conveyed signal information and the spatial relations between visual entities. To remedy such shortcomings, we present in this paper a video model integrating visual semantics, spatial and signal characterizations. It relies on an expressive representation formalism handling high-level video descriptions and a full-text query framework in an attempt to operate video indexing and retrieval beyond trivial low-level processes, semantic-based keyword annotation and retrieval frameworks.
机译:大多数视频索引和检索系统患有缺乏捕获图像语义丰富的综合视频模型,传达的信号信息和视觉实体之间的空间关系。为了解决此类缺点,我们在本文中存在一个视频模型集成了视觉语义,空间和信号特性。它依赖于表达式表现形式的形式主义处理高级视频描述和全文查询框架,以尝试运行视频索引和检索超越普通的低级进程,基于语义的关键字注释和检索框架。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号