Patent classifications
H04N21/234372
Digital picture frame photograph clustering
A method for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. The integrated camera is used to automatically determine an identity of a frame viewer and can capture gesture-based feedback. The displayed photos are automatically shown and/or changed according to the detected viewers. The photos can be filtered and cropped at the receiver side. Clustering photos by content is used to improve display and to respond to photo viewer desires.
Modifying presentation of video data by a receiving client device based on analysis of the video data by another client device capturing the video data
Various client devices include displays and one or more image capture devices configured to capture video data. Different users of an online system may authorize client devices to exchange information captured by their respective image capture devices. Additionally, a sending client device captures and transmits video data to a receiving client, while receiving one or more video presentation settings of the receiving client device. The sending client device applies one or more models to the captured video data and compares output from the models to the video presentation settings of the receiving client device. Based on the comparison, the sending client device provides suggested modifications to one or more video presentation settings to the receiving client device. For example, the sending client device provides a suggestion to reorient a display device of the receiving client device.
Automated video cropping
The disclosed computer-implemented method may include receiving, as an input, segmented video scenes, where each video scene includes a specified length of video content. The method may further include scanning the video scenes to identify objects within the video scene and also determining a relative importance value for the identified objects. The relative importance value may include an indication of which objects are to be included in a cropped version of the video scene. The method may also include generating a video crop that is to be applied to the video scene such that the resulting cropped version of the video scene includes those identified objects that are to be included based on the relative importance value. The method may also include applying the generated video crop to the video scene to produce the cropped version of the video scene. Various other methods systems and computer-readable media are also disclosed.
Automated routing and display of community photographs in digital picture frames
A method for automated routing of pictures taken on mobile electronic devices to a digital picture frame including a camera integrated with the frame, and a network connection module allowing the frame for direct contact and upload of photos from electronic devices or from photo collections of community members. The integrated camera is used to automatically determine an identity of a frame viewer and can capture gesture-based feedback. The displayed photos are automatically shown and/or changed according to the detected viewers. The photos can be filtered and cropped at the receiver side. Clustering photos by content is used to improve display and to respond to photo viewer desires.
Method Of Communicating Video From A First Electronic Device To A Second Electronic Device Via A Network, And A System Having A Camera And A Mobile Electronic Device For Performing The Method
A system and method are disclosed for communicating video/images from a first electronic device to a second electronic device via a network. The first electronic device can include a digital video camera and the second electronic device can include a mobile electronic device, such as a smart phone. The method can include, with the first electronic device, acquiring a first image (as part of a video) having a first resolution, transmitting the first image with a second resolution to the second electronic device, receiving a cropping parameter from the second electronic device, acquiring a second image (as part of a video), cropping the second image based on the crop parameter resulting in a third image having a third resolution, and transmitting the third image with the third resolution.
INTELLIGENT VIDEO REFRAMING
Embodiments of the present invention are directed towards reframing videos from one aspect ratio to another aspect ratio while maintaining visibility of regions of interest. A set of regions of interest are determined in frames in a video with a first aspect ratio. The set of regions of interest can be used to estimate an initial camera path. An optimal camera path is determined by leveraging the identified regions of interest using the initial camera path. Sub crops with a second aspect ratio different from the first aspect ratio of the video are identified. The sub crops are placed as designated using the optimal camera path to generate a cropped video with the second aspect ratio.
ASPECT RATIO CONVERSION WITH MACHINE LEARNING
Techniques are disclosed for converting image frames, such as the image frames of a motion picture, from one aspect ratio to another while predicting the pan and scan framing decisions that a human operator would make. In one configuration, one or more functions for predicting pan and scan framing decisions are determined, at least in part, via machine learning using training data that includes historical pan and scan conversions. The training data may be prepared by extracting features indicating visual and/or audio elements associated with particular shots, among other things. Function(s) may be determined, using machine learning, that take such extracted features as input and output predicted pan and scan framing decisions. Thereafter, the image frames of a received video may be converted between aspect ratios on a shot-by-shot basis, by extracting the same features and using the function(s) to make pan and scan framing predictions.
MEDIA CONTENT PRESENTATION
A method of presenting media content is disclosed. A plurality of assets is received at a mobile device comprising a display and an orientation sensor. The plurality of assets comprises a first video asset associated with a first aspect ratio, and a second video asset associated with a second aspect ratio, different from the first aspect ratio. A desired aspect ratio is determined based on an output of the orientation sensor. In accordance with a determination that the desired aspect ratio is closer to the first aspect ratio than to the second aspect ratio, the first video asset is selected. In accordance with a determination that the desired aspect ratio is closer to the second aspect ratio than to the first aspect ratio, the second video asset is selected. The selected video is presented at the desired aspect ratio via the display.
MEDIA CONTENT PRESENTATION
A method of presenting media content is disclosed. A plurality of assets is received at a mobile device comprising a display and an orientation sensor. The plurality of assets comprises a first video asset associated with a first aspect ratio, and a second video asset associated with a second aspect ratio, different from the first aspect ratio. A desired aspect ratio is determined based on an output of the orientation sensor. In accordance with a determination that the desired aspect ratio is closer to the first aspect ratio than to the second aspect ratio, the first video asset is selected. In accordance with a determination that the desired aspect ratio is closer to the second aspect ratio than to the first aspect ratio, the second video asset is selected. The selected video is presented at the desired aspect ratio via the display.
Systems and Methods for Encoding Video Content
Systems and methods for encoding a plurality of alternative streams of video content using multiple encoders in accordance with embodiments of the invention are disclosed. An encoding system includes multiple encoders. Each of the encoders receives a source stream of video content that is divided into portions. Each of the encoders generates portions of the plurality of alternative streams from the portions of the source stream. The portions of the alternative streams generated by a particular encoder are stored in a container for the particular encoder. Each encoder also generates index information for the portion of the alternative stream generated by the encoder that is stored in a manifest for the encoder.