- Arlington VA, US Gyanesh Pandey - San Jose CA, US Tushar Chaudhary - San Francisco CA, US Manish Sharma - San Jose CA, US Kevin Flores - San Jose CA, US
The creation of a supercut is described using techniques to allow users to efficiently create high quality supercuts. A video clip repository may include a number of video clips. The video clip repository may allow users to browse and view video clips in the repository. A supercut creation tool may operate to identify, based on comparison of search criteria received from a user to the set of tags, video clips, from the set of video clips, that are relevant to the search criteria; determine, based on scores of the video clips, an ordering of the video clips; and generate a supercut of the video clips as a single video corresponding to the video clips and arranged in the determined order.
Automated Suggestions And Corrections Of Content Clips
Techniques described herein may allow for the single-input capture of clips during the presentation of content, such as video content. The single-input capture may be based on an analysis of clips captured by users in the same video content, such that popular clips can be identified and used for subsequent users. A user may select a button to capture, or to begin capturing, a clip during the presentation of content. Based on the single selection of the button, an entire clip may be captured, which may correspond to a previously detected popular clip.
Crowdsourcing techniques may be used to enhance the experience of users viewing and/or listening to content (e.g., live and/or pre-recorded content, such as movies, sporting events, etc.). A server device may analyze audio, captured by multiple user devices, in order to determine trigger points, in the content. The trigger point may be a time point in the content, at which the captured audio, received from multiple user devices, should be played by subsequent user devices that play back the content.
- Arlington VA, US Manish Sharma - San Jose CA, US Devin Blong - Penngrove CA, US Kevin Flores - San Jose CA, US Tushar Chaudhary - Mountain View CA, US Gaurav Gupta - Fremont CA, US
International Classification:
H04W 76/02 H04W 8/00 H04W 4/00
Abstract:
Techniques described herein may be used to enable a user device (e.g., a smartphone, a tablet computer, etc.) to access network services without having to be connected to a network (e.g., a wireless telecommunications network). A first user device may communicate discovery packets in search of other user devices to which the first user device may connect. The first user device may identify a second user device (as a result of sending the discover packets). The first and second user devices may obtain configuration parameters (e.g., a communication channel allocation, encryption keys, synchronization information, etc.) and may establish a D2D connection based on the configuration parameters. The D2D connection may enable the first and second user devices to communicate with another as though the user devices were connected to a wireless telecommunications network (e.g., via telephone calls, video calls, simple messaging services (SMS) messages, instant messages, etc.).
- Arlington VA, US Devin Blong - Penngrove CA, US Paresh Vakhariya - Cupertino CA, US Kevin Flores - San Jose CA, US I-Han Chen - Fremont CA, US
International Classification:
H04L 12/58 H04L 12/24 G06Q 30/02 H04L 29/08
Abstract:
Techniques described herein may be used to analyze written messages between users (e.g., messages in a mobile messaging application, simple messaging service (SMS) messages, instant messages, etc.) to identify media content being discussed by the users. Additionally, the opinions of the users regarding the media content (e.g., favorable, unfavorable, etc.) may be deciphered and used to update user profiles. The updated user profiles may be used to provide media content recommendations for the users, targeted marketing to the users, rating scores for the media content, and user reviews for the media content. The analysis of the written message may also enable the written messages to be organized (e.g., according to topic) within a graphic user interface (GUI) of each user device.
- Arlington VA, US Kevin FLORES - San Jose CA, US Mat MEJIA - San Leandro CA, US Tushar CHAUDHARY - Mountain View CA, US Paresh VAKHARIYA - Cupertino CA, US Jason GOLDSMITH - San Jose CA, US Manish SHARMA - San Jose CA, US
International Classification:
G06F 17/30
Abstract:
A system may receive a search term from a user device. The system may identify a set of media files based on the search term, the set of media files including multiple media files. The system may automatically create a single media file by combining the multiple media files, from the set of media files, into the single media file. The system may output the single media file for presentation on the user device.
- Arlington VA, US Manish Sharma - San Jose CA, US Devin Blong - Penngrove CA, US Kevin Flores - San Jose CA, US Tushar Chaudhary - Mountain View CA, US Gaurav Gupta - San Jose CA, US
International Classification:
G06F 21/62 H04L 29/06
Abstract:
A device may provide an upload request to upload a file. The device may receive, based on the upload request, a unique identifier associated with the device. The device may obtain a file key for encrypting the file and a security key for encrypting the file key. The security key may be obtained based on the unique identifier. The device may encrypt the file, using the file key, to create an encrypted file. The device may encrypt the file key, using the security key, to create an encrypted file key. The device may provide the encrypted file and the encrypted file key for storage by a storage device.
- Arlington VA, US Manish SHARMA - San Jose CA, US Devin BLONG - Penngrove CA, US Kevin FLORES - San Jose CA, US Tushar CHAUDHARY - Mountain View CA, US
A device receives, from a client device, a first request associated with target audience criteria and a time constraint. Based on the target audience criteria, the device sends, to an information device, a network state request. In response to the network state request, the device receives, from the information device, a network state response including user data associated with user devices. Based on the network state response, the device determines a predicted network state, including predicted user data associated with the user devices, associated with the time constraint. Based on the predicted network state and the target audience criteria, the device determines a predicted quantity of user devices associated with both the target audience criteria and the time constraint. The device sends, to the client device, a first response based on the determination of the predicted quantity of user devices.
Name / Title
Company / Classification
Phones & Addresses
Kevin Flores Chief Technology Officer
Motorola Sales and Services, Inc Mfg Radio/TV Communication Equipment
5200 Franklin Dr, Pleasanton, CA 94588 (925)4603900