首页> 外国专利> Progressive compressed domain computer vision and deep learning systems

Progressive compressed domain computer vision and deep learning systems

机译:渐进式压缩域计算机视觉和深层学习系统

摘要

Methods and systems for compressed domain progressive application of computer vision techniques. A method for decoding video data includes receiving a video stream that is encoded for multi-stage decoding. The method includes partially decoding the video stream by performing one or more stages of the multi-stage decoding. The method includes determining whether a decision for a computer vision system can be identified based on the partially decoded video stream. Additionally, the method includes generating the decision for the computer vision system based on decoding of the video stream. A system for encoding video data includes a processor configured to receive the video data from a camera, encode the video data received from the camera into a video stream for consumption by a computer vision system, and include metadata with the encoded video stream to indicate whether a decision for the computer vision system can be identified from the metadata.
机译:计算机视觉技术的压缩域逐行应用的方法和系统。用于解码视频数据的方法包括接收被编码的视频流以用于多级解码。该方法包括通过执行多阶段解码的一个或多个阶段来部分地解码视频流。该方法包括确定是否可以基于部分解码的视频流识别计算机视觉系统的决定。另外,该方法包括基于对视频流的解码生成计算机视觉系统的决定。用于编码视频数据的系统包括被配置为从相机接收视频数据的处理器,将从相机接收的视频数据编码为计算机视觉系统的视频流,并包括具有编码视频流的元数据来指示是否可以从元数据识别计算机视觉系统的决定。

著录项

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

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