anchorperson
英
美
网络 主持人; 播音员; 新闻节目主持人
英英释义
noun
- a television reporter who coordinates a broadcast to which several correspondents contribute
双语例句
- Three Topics on TV News Anchorperson
电视新闻主持人三题 - On the Individuality of TV Anchorperson in the Times of Different TV Audience
分众化时代电视节目主持人个性化浅议 - A news story is composed of an anchorperson shot and a news footage shot, we can segment a news video into several stories if we know when the anchorperson shows up.
一则新闻故事段落是由主播播报与外景采访所组成，所以若能够知道主播出现的时段就能将一个连续的新闻影片自动分段。 - The journalist-anchorperson is demonstrating the charm of professional knowledge and easy conversational style in combination, which seems to prove that the journalist is the ideal anchorperson.
记者型主持人实践着主持人是最好的记者这一理念，知识化和平近的交谈风格成为主持人的新特点。 - Detecting Anchorperson Frame from the News Video Using the Matching of Dominant Color Template
利用主色模板匹配检测新闻视频口播帧 - It is essential to detect anchorperson shots in the analysis and study of news video.
在新闻视频分析研究中，主持人镜头的实时检测具有十分重要的意义。 - Then we realize anchorperson shot detection and video news indexing based on semantic faces, which shows video object's important usage in analysis of video semantic contents.
然后基于语义人脸实现了主持人镜头检测和视频新闻结构化算法，体现了视频对象正视频内容分析中的基础作用。 - A new method for anchorperson shot detection is presented based on histograms of primary colors in half screen, where detection is in accordance with the frequencies of anchorperson shot in the news.
提出一种基于半屏幕主颜色直方图的主持人镜头检测方法，本方法基于主持人镜头在新闻节目中频繁出现的统计特性对主持人镜头进行检测。 - In this paper a knowledge based analysis method for news video& a two stage template matching method to detect the anchorperson shot of news video is presented, which is a fundamental step for segmenting news video units.
提出了一种基于知识的新闻视频分析方法&二阶段模板匹配法，用于检测新闻节目中主持人口播镜头，从而为新闻单元的定位提供基本依据。 - In the first step, the screen is divided into two parts: left screen and right screen which are detected respectively, then potential anchorperson shots are grouped by clustering based on the fact that anchorperson shots always present repeatedly within a news program.
在第一步中，把屏幕分为两部分：左屏幕和右屏幕，并分别加以检测，然后依据主持人镜头在一个新闻节目中频繁重复出现的特性对候选主持人镜头进行聚类。