A Semantic Management Mechanism for Video Resources Based on Scene Segmentation

XING Ling; MA Qiang; HU Jin-jun

doi:10.3969/j.issn.0372-2112.2016.10.011

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A Semantic Management Mechanism for Video Resources Based on Scene Segmentation

更新时间：2025-07-16

- A Semantic Management Mechanism for Video Resources Based on Scene Segmentation
- Acta Electronica Sinica Vol. 44, Issue 10, Pages: 2357-2363(2016)
- 作者机构：
  
  1. 河南科技大学信息工程学院,河南,洛阳,471023
  2. 西南科技大学信息工程学院,四川,绵阳,621010
  3. 河南科技大学信息工程学院,河南,洛阳,471023
  4. 西南科技大学信息工程学院,四川,绵阳,621010
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61171109);Applied Basic Program of Science and Technology Department of Sichuan Province (No.2014JY0215);Research Project of Southwest University of Science and Technology (No.2014JY0215)
- DOI：10.3969/j.issn.0372-2112.2016.10.011
  CLC： TN911.7
- Published Online：25 October 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
XING Ling, MA Qiang, HU Jin-jun. A Semantic Management Mechanism for Video Resources Based on Scene Segmentation[J]. Acta Electronica Sinica, 2016, 44(10): 2357-2363.
DOI：

XING Ling, MA Qiang, HU Jin-jun. A Semantic Management Mechanism for Video Resources Based on Scene Segmentation[J]. Acta Electronica Sinica, 2016, 44(10): 2357-2363. DOI： 10.3969/j.issn.0372-2112.2016.10.011.

摘要

针对视频内容管理在不同层面存在语义鸿沟的问题，提出基于UCL（Uniform Content Locater）的视频语义描述框架，该框架包含了三个层次的语义：内容语义、控制语义以及物理属性信息.而视频场景的分割则通过视频内容基于时空上的相似性实现.对于每个视频场景，结合局部纹理复杂度、背景亮度和场景复杂度，选择最佳参考帧（I帧）与非最佳参考帧（非I帧）以嵌入不同的语义信息：控制语义、物理属性信息嵌入I帧，内容语义嵌入非I帧.利用数字语义水印技术来实现视频内容的语义管理，完成语义信息和载体信号的一体传输和存储.实验中采用JM参考模型进行数字水印方法的验证，结果表明该方法鲁棒性强，且不会造成视频资源质量显著下降.

Abstract

To tackle video management problem of semantics gap existing in different aspects

a video semantic description framework based on UCL (Uniform Content Locator) is proposed.The semantic description framework consists of three levels

i.e.

content

control and physical.Video to be semantically managed is divided into different scenes based on spatial-temporal similarities of frames.For every scene

the most optimal reference frame (I-frames) and non-optimal reference frames (non I-frames) are selected based on local texture complexity

background luminance and scene complexity.Content semantic are imbedded into non I-frames while control and physical semantics are imbedded into I-frames.A semantic watermarking algorithm is incorporated into the management to realize the efficient storage and transmission of video content and its video semantics.JM reference model is adopted for experiments to verify the watermarking technique and results show that the method is robust and has little side effect on video quality.

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