Hulu, LLC

Baidu Online Network Technology (beijing) Co., Ltd.

Lemon Inc.

Star India Private Limited

Nokia Corporation

Xiaomi Inc.

Provenance Asset Group LLC

Tao Xiong

Zhibing Wang

Heng Su

Yuan Tian

Guoxin Zhang

Cailiang Liu

Xiaodong Li

Chenguang Zhang

Xingfei Ge

Wei Wang

Dong Wang

Zhe Wang

Kun Jing

Kaihua Zhu

Chenyu Sun

Wei Feng

Kongqiao Wang

Lei Xu

Di Wu

Jiangwei Li

Lu Zhang

Hao Huang

Cheng Peng

Hao Liang

Kesheng Yan

Yupeng Liao

David Trevelyan

Maryyann Crichton

Guoguo Chen

Fraser Smith

Yufeng Wang

Bochen Li

Nathanael Schager

Jitong Chen

Jialin Li

Qinggeng Qian

Yaqian Zhang

Dengfeng Wu

Shihkuang Chu

Shenglong Lyu

Zhuxin Li

Suiyu Feng

Josiah John Serrano

Shaoyuan Li

Jingya Wang

Betina J Chan-Martin

Joyce Zhang

Hwankyoo Shawn Kim

Youqiang Zhang

Runxiang Li

Xuefan Hu

Chenyang Cui

Brandon Wu

Jian Hui

Deming Lu

A system and method for enhancing video resolution is disclosed. A Low-Resolution (LR) video including a plurality of LR images is received. The LR video is converted to a High-Resolution (HR) video by transforming at least one LR image to a HR image. Pixel unshuffle is performed to rearrange image portions in the LR image to generate a set of downsampled sub-images. Further, shallow features are extracted from the set of downsampled sub-image. The shallow features extracted corresponding to the set of downsampled sub-images configure a feature space. The shallow features are processed using a series of inverted residual blocks to generate enhanced features corresponding to the set of downsampled sub-images. The enhanced features are mapped to a high resolution feature space using pixel shuffle to generate the HR image corresponding to the LR image.

System and method for enhancing resolution of video content

A method and system () for generating smart thumbnails is disclosed. The method includes receiving a thumbnail and metadata in relation to a content stored in a content store (). The metadata is analyzed to identify a key content element of the content. If the key content element is present in the thumbnail, one or more features related to the key content element are extracted and caused to be animated to create an animated content element. One or more textual snippets are generated based on the metadata, and a textual snippet is converted into a speech form to configure an audio version of the textual snippet. The audio version is combined with the animated content element to create a speaking content element. The speaking content element is embedded in place of the key content element in the thumbnail to generate the smart thumbnail.

Method and system for generating smart thumbnails

The present application provides a special effect processing method and apparatus. The method includes: generating an audio signal in response to a touch operation of a user in a process of playing a video; segmenting the audio signal into multiple audio frames; performing, according to attributes of the audio frames, special effect processing on a picture which is currently played in the video.

Special effect processing method and apparatus

A music playing method and apparatus based on user interaction, a device and a storage medium, which relate to the technical field of music videos. The method includes: capturing a target video through a video capturing apparatus; determining an audio processing mode corresponding to a target action when it is identified in the target video that a target object presents the target action; and playing music according to the audio processing mode. The target video is captured by the video capturing apparatus, and when the target object in the target video is identified to generate the target action, the corresponding audio processing mode is determined based on the target action, and music is played according to the audio processing mode.

Music playing method and apparatus based on user interaction, and device and storage medium

Smart panel

Vehicle-carrying smart bracket

Speaker

In one embodiment, a method selects a set of accounts related to a video using a first classifier that is trained to identify the set of accounts from a plurality of accounts and selects a token used to identify the video. A second classifier is trained to identify short messages that are related to the video using a first set of short messages from the accounts related to the video and the second set of short messages including the tokens. A third set of short messages is identified that is related to the video from a plurality of short messages. The method normalizes words in the set of short messages using a mixed model including a lexicon model and a translation model. Then, the method generates a set of ratings for the set of short messages and uses the set of ratings in a service for a video delivery service.

Short message classification for video delivery service and normalization

In one embodiment, a method receives a video and information for entities that appear in the video. The video is played in a media player without displaying a queue configured to display one or more entities. When an input is received to display the queue while playing the video, the method performs: determining a set of entities in relation to a time associated with playing the video using the information for the entities that appear in the video and displaying the set of entities in the queue, wherein the video continues to play in the media player while the queue is displayed.

Queue to display information for entities during video playback

Charging dock

In one embodiment, a method determines known features for existing face tracks that have identity labels and builds a database using these features. The face tracks may have multiple different views of a face. Multiple features from the multiple faces may be taken to build the face models. For an unlabeled face track without identity information, the method determines its sampled features and finds labeled nearest neighbor features with respect to multiple feature spaces from the face models. For each face in the unlabeled face track, the method decomposes the face as a linear combination of its neighbors from the known features from the face models. Then, the method determines weights for the known features to weight the coefficients of the known features. Particular embodiments use a non-linear weighting function to learn the weights that provides more accurate labels.

Face track recognition with multi-sample multi-view weighting

In one embodiment, a method determines a video including ad slots inserted within the video. The method generates a caption curve for a caption file of caption segments for a video based on start and stop times for caption segments in the caption file. The caption segments in the caption file were generated for the video without including ad slots. Then, the method determines a speech velocity for the video using the caption file and revises the caption curve based on the speech velocity and a number of characters in caption segments in the caption file. A speech probability curve is determined based on audio of the video and the method correlates the speech probability curve to the revised caption curve to align the caption segments of the caption file with speech of the video.

Caption and speech alignment for a video delivery system

A liquid crystal display module and a mobile device are provided. The liquid crystal display module includes: a display function component and a cover glass structure. The display function component is disposed in a receiving space of a middle-frame structure of a mobile device. The cover glass structure includes a front glass structure directly disposed on the display function component. A dimension of the front glass structure matches with the middle-frame structure and the cover glass structure covers a majority of an upper surface of the mobile device.

Liquid crystal display module and mobile device

In one embodiment, a method receives a video for a media program and a set of captions for a dialog in the video. A media player plays the video. A time associated with playing of the video is determined and then the method determines a set of entities in relation to the time. The set of entities are included in one or more captions in the set of captions. The method displays the set of entities in a queue where the set of entities are associated with additional information for each respective entity in the set of entities.

Queue to display additional information for entities in captions

Particular embodiments configure a video delivery system to provide different modes for seeking in a video. The different modes may segment the video on different boundaries based on different characteristics of the video. For example, the different modes may seek by scene, by shot, and by dialogue. The boundaries for scenes, shots, and dialogue may start the video on logical points that do not break up the flow of the video. In another embodiment, the media player may save a seek history for a user and allow the user to scan the previous seek requests to go back to the seek times of previous seek requests. In one embodiment, the previous seek times are adjusted via the boundary information to show thumbnails for a shot, scene, or dialogue that correspond to the boundaries in the video rather than the original seek time.

Video delivery system configured to seek in a video using different modes

Growing community of inventors

Beijing, China

Tao Xiong