Earticle

초록

영어

ports video metadata extraction system based on the content of basic goal use an automated or semi-automated interactive means to obtain video data as complete features and attributes for efficient retrieval mechanism. For fast access to video information needed, sports video ornamental create conditions. Firstly, video-based layered metadata description model, we discuss the structure of the video processing technology, and an increase in the time domain and airspace video object motion information on this basis. Low-level visual features for video and high-level semantic features presents a particular field of video information for video implicit hierarchical division method. Video automated visual feature extraction, semantic feature places marked attracted achieve human-computer interaction. Focus on the sports information descriptors and visual content descriptors, descriptor structure video. Video data based on hierarchical structure model and video features standard video content description model.

목차

Abstract
 1. Introduction
 2. Related Theory and Method
  2.1 Sports ML
  2.2 Sports Video Metadata Model
  2.3 Video Feature Selection
 3. Video and Metadata Management
  3.1 Storing Metadata Information
  3.2 Search Results for Many Types of Information Gathering Process
 4. Experiment and Results
  4.1 Shot Detection
  4.2 Full-text Search of Sports Video Metadata
 5. Conclusions
 References

키워드

저자

• Haixin Yao [ School of Physical Culture, North China University Of Science And Technology, Tangshan, China ]
• Jinmei Shao [ School of Physical Culture, North China University Of Science And Technology, Tangshan, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605