专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明申请

US20130101209A1 METHOD AND SYSTEM FOR EXTRACTION AND ASSOCIATION OF OBJECT OF INTEREST IN VIDEO 审中-公开
标题翻译：在视频中提取和关联对象的方法和系统
公开(公告)号：US20130101209A1
公开(公告)日：2013-04-25
申请号：US13715632
申请日：2012-12-14
申请人： Huawei Technologies Co., Ltd. , Peking University
发明人： Yonghong Tian , Haonan Yu , Jia Li , Yunchao Gao , Jun Zhang , Jun Yan
IPC分类号： G06K9/80
CPC分类号： G06K9/80 , G06F16/78 , G06K9/3241 , G06K2009/366 , H04N21/44008
摘要： The present disclosure relates to an image and video processing method, and in particular, to a two-phase-interaction-based extraction and association method for an object of interest in a video. In the method, a user performs coarse positioning interaction by an interactive method which is not limited to a normal manner and has a low requirement for prior knowledge; based on this, a certain extraction algorithm which is fast and easy to implement is adopted to perform multi-parameter extraction on the object of interest. In the method, on the basis of mining video information fully and ensuring user preference, in a manner where the viewing of the user is not affected, associate value-added information with the object which the user is interested in, thereby meeting the user's requirement for deeply knowing and further exploring an attention area.
摘要翻译：本公开涉及一种图像和视频处理方法，特别地涉及一种用于视频中的感兴趣对象的基于两相交互的提取和关联方法。在该方法中，用户通过交互方式执行粗略的定位交互，该交互方法不限于正常方式，对于先验知识的要求较低; 基于此，采用快速，易于实现的某种提取算法对感兴趣的对象进行多参数提取。在该方法中，基于完全挖掘视频信息并确保用户偏好，以不影响用户观看的方式，将增值信息与用户感兴趣的对象相关联，从而满足用户的要求深入了解进一步探索关注领域。

2. 发明授权

US08750602B2 Method and system for personalized advertisement push based on user interest learning 有权
标题翻译：基于用户兴趣学习的个性化广告推送方法与系统
公开(公告)号：US08750602B2
公开(公告)日：2014-06-10
申请号：US13709795
申请日：2012-12-10
申请人： Huawei Technologies Co., Ltd.
发明人： Jia Li , Yunchao Gao , Haonan Yu , Jun Zhang , Yonghong Tian , Jun Yan
IPC分类号： G06K9/62
CPC分类号： G06K9/46 , G06F17/3079 , G06K9/628 , G06Q30/00
摘要： Embodiments of the present invention relate to a method and a system for personalized advertisement push based on user interest learning. The method may include: obtaining multiple user interest models through multitask sorting learning; extracting an object of interest in a video according to the user interest models; and extracting multiple visual features of the object of interest, and according to the visual features, retrieving related advertising information in an advertisement database. Through the method and the system provided in embodiments of the present invention, a push advertisement may be closely relevant to the content of the video, thereby meeting personalized requirements of a user to a certain extent and achieving personalized advertisement push.
摘要翻译：本发明的实施例涉及一种基于用户兴趣学习的个性化广告推送的方法和系统。该方法可以包括：通过多任务排序学习获得多个用户兴趣模型; 根据用户兴趣模型提取视频中的感兴趣对象; 并且提取所述感兴趣对象的多个视觉特征，并且根据所述视觉特征，在广告数据库中检索相关广告信息。通过本发明实施例提供的方法和系统，推送广告可以与视频的内容密切相关，从而在一定程度上满足用户的个性化需求并实现个性化广告推送。

3. 发明申请

US20130094756A1 METHOD AND SYSTEM FOR PERSONALIZED ADVERTISEMENT PUSH BASED ON USER INTEREST LEARNING 有权
标题翻译：基于用户兴趣的个性化广告推送方法与系统
公开(公告)号：US20130094756A1
公开(公告)日：2013-04-18
申请号：US13709795
申请日：2012-12-10
申请人： Huawei Technologies Co., Ltd.
发明人： Jia Li , Yunchao Gao , Haonan Yu , Jun Zhang , Yonghong Tian , Jun Yan
IPC分类号： G06K9/46
CPC分类号： G06K9/46 , G06F17/3079 , G06K9/628 , G06Q30/00
摘要： Embodiments of the present invention relate to a method and a system for personalized advertisement push based on user interest learning. The method may include: obtaining multiple user interest models through multitask sorting learning; extracting an object of interest in a video according to the user interest models; and extracting multiple visual features of the object of interest, and according to the visual features, retrieving related advertising information in an advertisement database. Through the method and the system provided in embodiments of the present invention, a push advertisement may be closely relevant to the content of the video, thereby meeting personalized requirements of a user to a certain extent and achieving personalized advertisement push.
摘要翻译：本发明的实施例涉及一种基于用户兴趣学习的个性化广告推送的方法和系统。该方法可以包括：通过多任务排序学习获得多个用户兴趣模型; 根据用户兴趣模型提取视频中的感兴趣对象; 并且提取所述感兴趣对象的多个视觉特征，并且根据所述视觉特征，在广告数据库中检索相关广告信息。通过本发明实施例提供的方法和系统，推送广告可以与视频的内容密切相关，从而在一定程度上满足用户的个性化需求并实现个性化广告推送。

4. 发明申请

US20150131917A1 MEDIA DECODING METHOD BASED ON CLOUD COMPUTING AND DECODER THEREOF 有权
标题翻译：基于云计算和解码器的媒体解码方法
公开(公告)号：US20150131917A1
公开(公告)日：2015-05-14
申请号：US14535295
申请日：2014-11-06
申请人： PEKING UNIVERSITY
发明人： Tiejun Huang , Wen Gao , Yonghong Tian
IPC分类号： G06T5/50 , H04N19/85 , G06K9/46 , G06K9/00 , G06T5/00
CPC分类号： H04N19/85 , G06K9/00711 , G06K9/00744 , G06K9/00758 , H04N19/50 , H04N19/90
摘要： A media decoding method based on cloud computing and decoder thereof are provided by embodiments of the present invention, which are easy to use and applicable to a media of any form, and its requirement for computer resource is low. The method includes: extracting representing features from a media code stream to be decoded; searching in the cloud for a media object which has similar representing features with the media code stream to be decoded by using a feature matching method and the representing features extracted; filling, replacing and improving parts or segments of the media code stream to be decoded with whole or parts of the media object.
摘要翻译：基于云计算及其解码器的媒体解码方法由本发明的实施例提供，其易于使用并且适用于任何形式的媒体，并且其对计算机资源的要求较低。该方法包括：从要解码的媒体码流中提取表示特征; 在云中搜索具有相似代表特征的媒体对象，其中媒体码流将通过使用特征匹配方法和提取的表示特征进行解码; 用媒体对象的全部或部分填充，替换和改进待解码的媒体码流的部分或部分。

5. 发明授权

US10937132B2 Spike signal-based display method and system 有权
公开(公告)号：US10937132B2
公开(公告)日：2021-03-02
申请号：US16666969
申请日：2019-10-29
申请人： Peking University
发明人： Tiejun Huang , Lin Zhu , Yonghong Tian , Yihua Fu , Jianing Li , Siwei Dong , Yaowei Wang
IPC分类号： G06T5/00 , G06K9/62
摘要： A spike signal-based display method and a spike signal-based display system are disclosed by the present application. The method includes: analyzing a spike sequence corresponding to a single pixel position to obtain spike-firing information; acquiring respective pixel values corresponding to multiple spike-firing times before a single spike-firing time, and accumulating the pixel values as a first accumulated pixel value; setting a first specific amount corresponding to the single spike-firing time of the pixel position, and summing the first specific amount and the first accumulated pixel value to obtain a first pixel value of the pixel position; comparing the first pixel value with a pixel threshold range, and obtaining a second specific amount based on the first specific amount; and obtaining a second pixel value of the pixel position by summing the first accumulated pixel value and the second specific amount, and generating an image by using the second pixel values. Since the pixel values are calculated using the time domain characteristic of the spike signal, an image with high quality is formed and an image at any continuous time instant is output. The quality of the generated image is improved by adjusting the pixel values based on the pixel threshold range.

6. 发明授权

US10390040B2 Method, apparatus, and system for deep feature coding and decoding 有权
公开(公告)号：US10390040B2
公开(公告)日：2019-08-20
申请号：US15690595
申请日：2017-08-30
申请人： Peking University
发明人： Yonghong Tian , Lin Ding , Tiejun Huang , Wen Gao
IPC分类号： H04N19/54 , H04N19/172 , G06N3/08 , G06K9/00 , G06K9/62 , H04L29/08
摘要： Embodiments of the present disclosure provide a method, an apparatus, and a system for deep feature coding and decoding. The method comprises: extracting features of respective video frames; determining types of the features, the types reflecting time-domain correlation degrees between the features and a reference feature; encoding the features using predetermined coding patterns matching the types to obtain coded features; and transmitting the coded features to the server such that the server decodes the coded features for a vision analysis task. By using the embodiments of the present disclosure, videos per se may not be transmitted to the cloud server; instead, the features of the video, after being encoded, are transmitted to the cloud server for a vision analysis task; compared with the prior art, data transmission pressure may be lowered, and the storage pressure at the cloud server may also be lowered.

7. 发明授权

US09549206B2 Media decoding method based on cloud computing and decoder thereof 有权
标题翻译：基于云计算及其解码器的媒体解码方法
公开(公告)号：US09549206B2
公开(公告)日：2017-01-17
申请号：US14535295
申请日：2014-11-06
申请人： PEKING UNIVERSITY
发明人： Tiejun Huang , Wen Gao , Yonghong Tian
IPC分类号： G06K9/00 , H04N19/85 , H04N19/50 , H04N19/90
CPC分类号： H04N19/85 , G06K9/00711 , G06K9/00744 , G06K9/00758 , H04N19/50 , H04N19/90
摘要： A media decoding method based on cloud computing and decoder thereof are provided by embodiments of the present invention, which are easy to use and applicable to a media of any form, and its requirement for computer resource is low. The method includes: extracting representing features from a media code stream to be decoded; searching in the cloud for a media object which has similar representing features with the media code stream to be decoded by using a feature matching method and the representing features extracted; filling, replacing and improving parts or segments of the media code stream to be decoded with whole or parts of the media object.
摘要翻译：基于云计算及其解码器的媒体解码方法由本发明的实施例提供，其易于使用并且适用于任何形式的媒体，并且其对计算机资源的要求较低。该方法包括：从要解码的媒体码流中提取表示特征; 在云中搜索具有相似代表特征的媒体对象，其中媒体码流将通过使用特征匹配方法和提取的表示特征进行解码; 用媒体对象的全部或部分填充，替换和改进待解码的媒体码流的部分或部分。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式