Arris Enterprises LLC

Google Inc.

Motorola Mobility LLC

Motorola Corporation

Motorola Solutions, Inc.

General Instrument Corporation

Arris Technology, Inc.

Andrew Wireless Systems Gmbh

Arris International IP Ltd

Venugopal Vasudevan

Jehan Wickramasuriya

Joseph F Wodka

Anthony J Braskich

Faisal Ishtiaq

Michael D Pearce

Loren J Rittle

Nitya Narasimhan

Benedito J Fonseca, Jr

Bogdan O Carbunar

Chao Xu

Michael L Needham

Jay R Almaula

Tzvetan T Horozov

Isselmou Ould Dellahy

Rohit Chaudhri

Myungcheol Doo

Stephen P Emeott

Renxiang Li

Erich C Arnold

Alfonso Martinez Smith

Silviu Chiricescu

Shivajit Mohapatra

Jayanth P Mysore

Frederick H Rohles

Nitya Narsimhan

Anwar M Haneef

Chen Jia

Jr Fonseca Benedito J

Systems and methods for determining the location of advertisements in multimedia assets are disclosed. A method includes obtaining an audio signature corresponding to a time period of a multimedia asset, identifying a match between the obtained audio signature and one or more stored audio signatures, comparing programming data of the multimedia assets of the obtained audio signature and the matching audio signatures, and determining whether the time period of the multimedia asset contains an advertisement based on the comparison of the programming data of the multimedia assets of the obtained audio signature and the one or more matching audio signatures. Another method includes identifying matches between a plurality of obtained audio signatures and a plurality of stored audio signatures, and determining whether consecutive time periods of the multimedia asset contain an advertisement based on a number of consecutive matching audio signatures of the plurality of stored audio signatures.

System and method for detecting advertisements in multimedia assets

A media content item is evaluated for its 'sentiment states.' That is, segments of the content item are determined to be, for example, 'happy,' &#x201c;exciting,&#x201d; &#x201c;sad,&#x201d; &#x201c;funny,&#x201d; and the like. A &#x201c;sentiment map&#x201d; is created that delimits segments of the content item and contains the sentiment-state keywords associated with the segments. Some maps include an amplitude for each assigned sentiment keyword and a confidence value for the segment delimitation and for each keyword. As an exemplary use of the sentiment map, an advertisement broker matches the sentiments of his advertisement offerings with segments of a content item in order to place appropriate advertisements at times when they would be most favorably received. In another example, a recommender system recommends to a user a content item whose sentiment map compares favorably to that of a content item already enjoyed by the user.

Sentiment mapping in a media content item

Detecting and monitoring legacy devices (such as appliances in a home) using audio sensing is disclosed. Methods and systems are provided for transforming audio data captured by the sensor to afford privacy when speech is overheard by the sensor. Because these transformations may negatively impact the ability to detect/monitor devices, an effective transformation is determined based on both privacy and detectability concerns.

In-home legacy device onboarding and privacy enhanced monitoring

A method for creating derivative advertisements is provided. The method includes identifying a visual element based on an analysis of a primary advertisement asset such that the visual element is representative of a branding message provided within the primary advertisement. The method also includes identifying a call-to-action (CTA) data element based on the analysis and creating a derivative advertisement asset having the visual element and CTA data element. A system and a non-transitory computer-readable storage medium containing software for executing the method are also provided.

Creating derivative advertisements

Systems and methods for determining the location of advertisements in multimedia assets are disclosed. A method includes obtaining a multimedia asset comprising at least one of video, audio and text, identifying segments of the multimedia asset, and for each segment, determining whether the respective segment represents an advertisement. For each segment that represents an advertisement, the method further includes extracting a predetermined number of fingerprints from the respective segment, submitting, to an advertisement database, the predetermined number of fingerprints, receiving, from the advertisement database, a count of the extracted fingerprints matching fingerprints previously stored in the advertisement database, and determining, based on the count, whether to add an indication that the respective segment is a new advertisement to the advertisement database.

System to build advertisement database from unreliable sources

A first screen schedule for the linear delivery of video content is received and analyzed. The first screen schedule may include slots in which first screen advertisements could be displayed. Particular embodiments can then determine the feasibility of providing second screen advertisements based on the first screen schedule. Then, second screen advertisements that advertisers wish to display in conjunction with first screen advertisements are determined. When the linear delivery of the video content commences, particular embodiments monitor a messaging stream associated with the delivery of the video content. When an ad placement marker is encountered, an ad server may select a first screen advertisement. When the first screen advertisement is placed, the messaging stream identifies a first screen advertisement that is delivered. If the first screen advertisement has a corresponding second screen advertisement, particular embodiments output the second screen advertisement on a second screen environment.

Second screen advertisement correlation using scheduling information for first screen advertisements

An advertisement system includes an advertising manager that receives a content-event indicator, which indicates playback of an advertisement for viewing on a first display screen at a media-playback device or indicates playback of recorded content that includes advertisements. The advertising manager can determine an optimal time offset as a duration of time before or after playback of an advertisement to the start of an event that is associated with the advertisement for viewing on a second display screen at a mobile device. For recorded content, an optimization schedule is determined that replaces and time-shifts advertisements during playback of the recorded content. The advertising manager can also determine a fulfillment criterion for a product or service based on latency constraints to indicate a duration of time within which fulfillment of the product or service is expected when offered as a second advertisement corresponding to a first advertisement.

Attention-based advertisement scheduling in time-shifted content

In one embodiment, a proxy forwards a first request from a manager for an object in a management information base to an agent in a network device, the object describing a characteristic of the network device. The proxy receives the object from the agent and categorizes the object in a category of a plurality of categories based on a characteristic of the object. At least two categories in the plurality of categories are associated with different time-to-live values. The proxy caches the object from the agent with a time-to-live value in a cache, the time-to-live value associated with the category. Then, the proxy returns the object to the manager. The proxy responds to a second request for the object using the cached object while the time-to-live value is valid without having to forward the second request to the agent.

Cache proxy for a network management information base

Particular embodiments provide a system to support orchestration of media assets that are delivered across multiple media spaces, time, and multiple device types in a coordinated manner. The system exposes a sequence of media assets to a user under media space, time, and device constraints. A campaign may be broken up into multiple media assets (e.g., different creatives, such as advertisement creatives). To target a user across different media spaces, the system may generate spanning rules based on metadata concerning multiple media spaces, time, and multiple device types for the campaign. An analytics service may provide analytics information for the delivered media assets to allow the coordination to continue in the sequence. Also, the analytics information may be used to change the spanning rules for future delivery of media assets.

Asset orchestration across multiple device types, media spaces, and time

Particular embodiments take first screen media assets and can derive second screen appropriate media assets. Then, particular embodiments may determine a target application for the second screen media assets. Layout characteristics for the target application is determined. Particular embodiments correlate the layout characteristics and the second screen media assets to select a second screen media asset for the target application. The correlation may generate scores based on the second screen media assets and the layout characteristics to determine a best fit of a second screen media asset for the target application. Then, the second screen media asset may be transcoded based on the characteristics of the target application or target device. After transcoding, particular embodiments may create a view of the second screen media asset in the target application, such as an overlay of the second screen media asset over a screen capture of the target application.

Dynamic generation and layout of media assets in a campaign management system

Disclosed are methods and apparatus for triggering (i.e., initiating, launching, or running) a software application (e.g., an interactive game application) or other computer program or application on a user device (e.g., a computer, etc.) based on multimedia content being provided to (e.g., displayed on) a different user device (e.g., a different computer, a television, etc.). The methods may comprise displaying, using a first device, multimedia content. A multimedia-analysis process may then be performed to determine an attribute of the multimedia content being displayed. These attributes may be used to acquire (e.g., select or produce) a software application comprising one or more elements that relate to the multimedia content. The software application may then be launched (i.e., triggered, initiated, or run) on a second device, the second device being different from the first device.

Software-application initiation

Growing community of inventors

Palatine, IL, United States of America

Venugopal Vasudevan