Sean KNAPP - Menlo Park CA, US Bismarck Lepe - Los Altos CA, US Belsasar Lepe - Los Altos CA, US
International Classification:
G06F 17/00 G06Q 10/00
US Classification:
715205, 705 10
Abstract:
A system associates objects in a video with metadata; wherein the system contains an unlocking module for unlocking the video by breaking up objects in the video, tracking the objects through the frames, and associating the objects with keywords and metadata. Users including consumers, advertisers, and publishers suggest objects in the video for a tagging module to link to advertisements. A feedback module tracks a user's activities and displays a user interface that includes icons to objects that the tracking module determines would be of interest to the user.
Providing Content To A Target Network That Has Insufficient Connectivity To A Source Network
Scott Frost - Foster City CA, US Sean M. Knapp - Mountain View CA, US
International Classification:
G06Q 30/06 G06F 15/16
US Classification:
705 2641, 709217, 709213
Abstract:
Techniques are provided for remotely controlling the distribution of digital assets to users in less-connected venues. When digital assets are cached within the less-connected venues, users within those less-connected venues are better able consume the assets, and are therefore more likely to purchase rights to consume the assets. Users within a less-connected venue may purchase and consume assets while the target network is completely disconnected from the source network from which the digital asset distribution is controlled. Sessions that are initiated within less-connected venues may be transferred outside those venues, to allow users that have purchased assets to continue to consume those assets after they leave the less connected venues.
Nimrod Hoofien - Palo Alto CA, US Harry J.M. Robertson - Mountain View CA, US Caleb E. Spare - Sunnyvale CA, US Sean M. Knapp - Mountain View CA, US
International Classification:
H04N 9/80
US Classification:
386248, 386E05003
Abstract:
A system is provided that facilitates achieving a goal associated with a particular video asset. The system may provide an interface through which a user may specify control parameters that are to be the targets of testing, and a goal or combination of goals. The system may control a controller that performs experiments in an attempt to identify optimal values, relative to the specified goals, for the control parameters. The optimal values may be determined and tested on a per-individual-video asset basis. Further, the controller may generate multiple sets of optimal values for a given video, where each set is associated with a different combination of request attributes. To estimate the optimal parameter values for one video, the controller may use usage information collected for that video, as well as usage information collected for similar videos.
Enhancing Search Results Using Conceptual Document Relationships
Sean Michael Knapp - Palo Alto CA, US Matthew Eric Waddell - Palo Alto CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/30
US Classification:
707760, 707769, 705 23, 715515
Abstract:
A system identifies user-defined organizational relationships between documents in a collection of documents. The system ranks the documents based on the identified relationships. In response to a user search query, a listing of matching documents is identified. The listing of matching document is presented to the user based on document ranks.
Techniques and a system are provided for protecting content (or media item) streamed over a network from unauthorized access. As an example, the streaming protection system generates statistics when a client requests a media item. The statistic may be generated based on various factors. The media item is divided into different portions, each portion requiring a different key to decrypt the portion so that it may be viewed by a user. Based on the generated statistic, the streaming protection system determines whether or not to allow the client access to the decryption key for a portion of the media item.
Techniques and a system are provided for protecting content (or media item) streamed over a network from unauthorized access. As an example, the streaming protection system generates statistics when a client requests a media item. The statistic may be generated based on various factors. The media item is divided into different portions, each portion requiring a different key to decrypt the portion so that it may be viewed by a user. Based on the generated statistic, the streaming protection system determines whether or not to allow the client access to the decryption key for a portion of the media item.
Providing Content To A Target Network That Has Insufficient Connectivity To A Source Network
- Mountain View CA, US Sean M. Knapp - Mountain View CA, US
International Classification:
G06Q 20/12 G06Q 30/06 H04L 29/08
Abstract:
Techniques are provided for remotely controlling the distribution of digital assets to users in less-connected venues. When digital assets are cached within the less-connected venues, users within those less-connected venues are better able to consume the assets, and are therefore more likely to purchase rights to consume the assets. Users within a less-connected venue may purchase and consume assets while the target network is completely disconnected from the source network from which the digital asset distribution is controlled. Sessions that are initiated within less-connected venues may be transferred outside those venues, to allow users that have purchased assets to continue to consume those assets after they leave the less connected venues.
A system is provided that facilitates achieving a goal associated with a particular video asset. The system may provide an interface through which a user may specify control parameters that are to be the targets of testing, and a goal or combination of goals. The system may control a controller that performs experiments in an attempt to identify optimal values, relative to the specified goals, for the control parameters. The optimal values may be determined and tested on a per-individual-video asset basis. Further, the controller may generate multiple sets of optimal values for a given video, where each set is associated with a different combination of request attributes. To estimate the optimal parameter values for one video, the controller may use usage information collected for that video, as well as usage information collected for similar videos.
Parse launched in 2011 and participated in Y Combinator. It raised $7 millionfrom Ignition Partners, Start Fund, Google Ventures, Menlo Ventures, SV Angel, Yuri Milner, Aaron Iba, Garry Tan, Chris Fanini, Sean Knapp, Don Dodge and David Rusenko.
Sean Knapp (1976-1980), Charles Blayney (1955-1959), Tony Tresco (1970-1974), Patricia Vozel (1953-1957), Joann Granny (1975-1979), Laura Caldwell (1976-1980)
Sean Leffler (1991-1993), Tom Dunbar (1984-1986), Nathan Milakovich (1993-1999), Paul Prior (1995-1997), Shawn Knapp (2000-2005), Miguel Trujillo (1989-1992)