WO2018176465A1 - 根据视频自动推荐影评的方法以及数字电视 - Google Patents

根据视频自动推荐影评的方法以及数字电视 Download PDF

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Publication number
WO2018176465A1
WO2018176465A1 PCT/CN2017/079297 CN2017079297W WO2018176465A1 WO 2018176465 A1 WO2018176465 A1 WO 2018176465A1 CN 2017079297 W CN2017079297 W CN 2017079297W WO 2018176465 A1 WO2018176465 A1 WO 2018176465A1
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video
film
user
review
movie
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PCT/CN2017/079297
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English (en)
French (fr)
Inventor
丁雅娜
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深圳市智晟达科技有限公司
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Priority to CN201780000640.4A priority Critical patent/CN107223342A/zh
Priority to PCT/CN2017/079297 priority patent/WO2018176465A1/zh
Publication of WO2018176465A1 publication Critical patent/WO2018176465A1/zh

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/482—End-user interface for program selection
    • H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/488—Data services, e.g. news ticker
    • H04N21/4888—Data services, e.g. news ticker for displaying teletext characters

Definitions

  • the present invention belongs to the field of the Internet, and provides a method for automatically recommending a movie review based on video and a digital television.
  • the film review is the director, actor and lens of a movie. Language, shooting techniques, plots, clues, environment, color, light, etc. for analysis and commentary.
  • the purpose of film review is to analyze, identify and evaluate the aesthetic value, cognitive value, social meaning, lens language and other aspects contained in the screen, to achieve the purpose of filming, to explain the theme expressed in the film, not only to analyze the success or failure of the film. Gains and losses help the director to broaden his horizons and improve his creative level to promote the prosperity and development of film art.
  • the user in the case that the user needs to search for the movie review after watching the movie, it is necessary to provide a movie review that matches the recorded video, and when the user prepares to watch the charged video resource, the user can automatically search for the free resource of the same movie. And recommend users to improve the user experience.
  • the present invention is implemented in such a way that a method for automatically recommending a film review based on a video includes the following steps:
  • the embodiment of the invention also provides a digital television, the digital television comprising:
  • Recording unit detecting unit, recommending unit, wherein:
  • a recording unit for recording a video review of the video match
  • a detecting unit configured to detect a video name when the user completely watches a video
  • the recommendation unit has an input end connected to the output end of the recording unit and the output end of the detection unit, respectively, for matching the movie review according to the video name, and pushing the user.
  • the invention records the video matching movie review, and when the user finishes watching a movie, the movie review can be automatically obtained, without manually searching for the film review, and the film review can better understand the film and improve the viewing effect.
  • FIG. 1 is a schematic flowchart of a method for automatically recommending a movie review according to a video according to an embodiment of the present invention
  • FIG. 2 is a schematic structural diagram of a digital television according to an embodiment of the present invention.
  • FIG. 1 is a schematic flowchart of a method for automatically recommending a movie review according to a video according to an embodiment of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.
  • step S100 a video matching movie review is recorded.
  • the recorded video A matches the review A.
  • step S101 when the user completely watches a video, the video name is detected.
  • the time for watching the movie should be detected, and it is premised on watching more than 90% of the movie. Otherwise, the user does not like to watch the movie, and the movie review is not required to be recommended to the user.
  • step S102 the movie review is matched according to the video name, and the user is pushed.
  • the movie review A is pushed to the user.
  • the invention records the video matching movie review, and when the user finishes watching a movie, the movie review can be automatically obtained, without manually searching for the film review, and the film review can better understand the film and improve the viewing effect.
  • FIG. 2 is a schematic structural diagram of a digital television according to an embodiment of the present invention, where the digital television includes:
  • a recording unit 21 configured to record a video matching video review
  • the detecting unit 22 is configured to detect a video name when the user completely watches a video
  • the recommendation unit 23 has an input end connected to the output end of the recording unit 21 and the output end of the detecting unit 22, respectively, for matching the movie review according to the video name, and pushing the user.
  • the working principle is: the user records the video matching video review in the recording unit 21; the detecting unit 22 detects the video name when the user completely watches a video; the recommendation unit 23 matches the movie review according to the video name, and pushes the user.
  • the invention records the video matching movie review, and when the user finishes watching a movie, the movie review can be automatically obtained, without manually searching for the film review, and the film review can better understand the film and improve the viewing effect.

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Human Computer Interaction (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Television Signal Processing For Recording (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)

Abstract

本发明属于互联网领域，提供了一种根据视频自动推荐影评的方法以及数字电视，所述方法包括：记录视频匹配的影评；当用户完整观看完一部视频时，检测视频名称；根据视频名称匹配出影评，并推送用户。该发明通过记录视频匹配的影评，当用户观看完一部影片后，能自动获取影评，无需手工搜索影评，通过影评能更加了解影片，提高观影效果。

Description

根据视频自动推荐影评的方法以及数字电视 技术领域
本发明属于互联网领域，提供了一种根据视频自动推荐影评的方法以及数字电视。
 背景技术
网络视频作为一种网络新媒体，由于其丰富的信息表达形式和快捷的信息传递渠道，正吸引着越来越多的用户。分析对国内主要上市网络新媒体2012年—2016年财报数据可以发现，网络视频以每年三位数的水平高速增长，成为增长最快的网络新媒体之一。
2015年中国网络视频市场规模达到243.1亿元人民币，相比2014年环比增长43.0%。随着移动端流量贡献率和市场认可度的提升，2015年移动视频广告市场规模达到114.7亿元人民币，相比2014年环比增长144.5%，占整体网络视频市场规模的47.2%。
随着观看网络视频的用户越来越多，对视频的要求就越来越多，有些人观看完喜欢的视频会看一下影评，加深一下印象，影评是对一部电影的导演、演员、镜头语言、拍摄技术、剧情、线索、环境、色彩、光线等进行分析和评论。电影评论的目的在于分析、鉴定和评价蕴含在银幕中的审美价值、认识价值、社会意义、镜头语言等方面，达到拍摄影片的目的，解释影片中所表达的主题，既能通过分析影片的成败得失，帮助导演开阔视野，提高创作水平，以促进电影艺术的繁荣和发展；同时能通过分析和评价，影响观众对影片的理解和鉴赏，提高观众的欣赏水平，从而间接促进电影艺术的发展。电影评论的内容是多样的。有着重评论影片的题材、主题、人物和它的社会意义的，也有专门论述不同片种、样式或影片的艺术风格、造型表现手段和电影语言的运用的；有对某一时期、某一流派的电影创作进行专题评论的，也有为著名的电影导演、演员等电影艺术家撰写评传的；既有在报刊上对当时上映的影片或某种创作问题写专栏评论的，也有对一定时期和范围内的影片进行评论的。由于读者和观众的层次不同，既需要供电影专业工作者研究用的专题论文，也需要有提高一般观众欣赏水平的影评文章。用户可以通过影评，对影片进行更深的理解，这样既能多方面的了解影片，也提高了影片的知名度。
但是很多时候，用户看完视频后，虽然觉得很好看，但是很少有人会主动搜索视频的影评观看来加深印象，就算有人会搜索，搜索起来也会觉得很繁琐。本来一部很好的影片，如果用户因为没有观看影评而无法理解它的真谛，就会让一部好影片白白浪费。
综上，需要针对用户在观影完后需要看影评时要自行搜索的情况，需要提供一种通过记录视频匹配的影评，当用户准备观看收费影片资源时，能够自动搜索相同影片的免费资源，并推荐用户，提高用户体验。
 技术问题
本发明实施例针对用户在观影完后需要看影评时要自行搜索的情况，需要提供一种通过记录视频匹配的影评，当用户准备观看收费影片资源时，能够自动搜索相同影片的免费资源，并推荐用户，提高用户体验。
 技术解决方案
本发明是这样实现的：一种根据视频自动推荐影评的方法，包括以下步骤：
记录视频匹配的影评；
当用户完整观看完一部视频时，检测视频名称；
根据视频名称匹配出影评，并推送用户。
本发明实施例还提供了数字电视，所述数字电视包括：
记录单元，检测单元，推荐单元，其中：
记录单元，用于记录视频匹配的影评；
检测单元，用于当用户完整观看完一部视频时，检测视频名称；
推荐单元，其输入端分别与所述记录单元输出端及检测单元输出端连接，用于根据视频名称匹配出影评，并推送用户。
 有益效果
该发明通过记录视频匹配的影评，当用户观看完一部影片后，能自动获取影评，无需手工搜索影评，通过影评能更加了解影片，提高观影效果。
 附图说明
图1是本发明实施例提供的一种根据视频自动推荐影评的方法的流程示意图；
图2是本发明实施例提供的数字电视的结构示意图。
 本发明的实施方式
为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。
图1是本发明实施例提供的一种根据视频自动推荐影评的方法的流程示意图，为了便于说明，只示出了与本发明实施例相关的部分。
在步骤S100中, 记录视频匹配的影评。
在本实施例中，记录视频A匹配影评A。
在步骤S101中, 当用户完整观看完一部视频时，检测视频名称。
在本实施例中，应检测观影的时间，要以观看完90%以上的影片为前提，否则说明用户不喜欢观看该影片，则不需要向用户推荐影评。
在步骤S102中，根据视频名称匹配出影评，并推送用户。
当在本实施例中，当检测到用户观看完影片A时，推送影评A 给用户。
该发明通过记录视频匹配的影评，当用户观看完一部影片后，能自动获取影评，无需手工搜索影评，通过影评能更加了解影片，提高观影效果。
图2是本发明实施例提供的数字电视的结构示意图，所述数字电视包括：
记录单元21，检测单元22，推荐单元23，其中：
记录单元21，用于记录视频匹配的影评；
检测单元22，用于当用户完整观看完一部视频时，检测视频名称；
推荐单元23，其输入端分别与所述记录单元21输出端及检测单元22输出端连接，用于根据视频名称匹配出影评，并推送用户。
其工作原理是：用户在记录单元21，记录视频匹配的影评；检测单元22，当用户完整观看完一部视频时，检测视频名称；推荐单元23，根据视频名称匹配出影评，并推送用户。
该发明通过记录视频匹配的影评，当用户观看完一部影片后，能自动获取影评，无需手工搜索影评，通过影评能更加了解影片，提高观影效果。
以上仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。

Claims (2)

  1. 一种根据视频自动推荐影评的方法，其特征在于，所述方法包括如下步骤：
    记录视频匹配的影评；
    当用户完整观看完一部视频时，检测视频名称；
    根据视频名称匹配出影评，并推送用户。
  2. 一种数字电视，其特征在于，所述数字电视包括：
    记录单元，检测单元，推送单元，其中：
    记录单元，用于记录视频匹配的影评；
    检测单元，用于当用户完整观看完一部视频时，检测视频名称；
    推送单元，其输入端分别与所述记录单元输出端及检测单元输出端连接，用于根据视频名称匹配出影评，并推送用户。
PCT/CN2017/079297 2017-04-01 2017-04-01 根据视频自动推荐影评的方法以及数字电视 WO2018176465A1 (zh)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103501449A (zh) * 2013-10-08 2014-01-08 十分（北京）信息科技有限公司 与电视节目关联的视频源推荐方法及推荐装置
CN104834435A (zh) * 2015-05-05 2015-08-12 小米科技有限责任公司 音频评论的播放方法和装置
CN105049898A (zh) * 2015-07-13 2015-11-11 深圳市广陆新媒体有限公司 基于数字电视的家庭影院实现方法、装置、***及客户端
CN105763637A (zh) * 2016-04-18 2016-07-13 苏州寅初信息科技有限公司 一种基于大数据的影评获取方法

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102547433A (zh) * 2010-12-07 2012-07-04 华录文化产业有限公司 一种基于播放时间点的互动评论方法和装置
CN105872822A (zh) * 2015-12-15 2016-08-17 乐视网信息技术（北京）股份有限公司 视频播放方法和视频播放***

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103501449A (zh) * 2013-10-08 2014-01-08 十分（北京）信息科技有限公司 与电视节目关联的视频源推荐方法及推荐装置
CN104834435A (zh) * 2015-05-05 2015-08-12 小米科技有限责任公司 音频评论的播放方法和装置
CN105049898A (zh) * 2015-07-13 2015-11-11 深圳市广陆新媒体有限公司 基于数字电视的家庭影院实现方法、装置、***及客户端
CN105763637A (zh) * 2016-04-18 2016-07-13 苏州寅初信息科技有限公司 一种基于大数据的影评获取方法

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