Microsoft Technology Licensing, LLC

Amazon Technologies, Inc.

Mathias Jourdain

Khawar Zuberi

Chao Wang

Ming Sun

Rajesh Sundaram

Scott B Graham

David L Risney

David Andrew Ross

Cengiz Erbas

Chungnam Chan

Jialiang Bao

Sheetal Laad

Harshavardhan Sundar

Aaron David Wirshba

Nipul Bharani

Guang Yang

Sermet Iskin

Joel Rosenberger

Ying Lin

Techniques for detecting certain acoustic events from audio data are described. A system may perform event aggregation for certain types of events before sending an output to a device representing the event is detected. The system may bypass the event aggregation process for certain types of events that the system may detect with a high level of confidence. In such cases, the system may send an output to the device when the event is detected. The system may be used to detect acoustic events representing presence of a person or other harmful circumstances (such as, fire, smoke, etc.) in a home, an office, a store, or other types of indoor settings.

Acoustic event detection

Examples of the present disclosure describe content creation of at least one abstract from extracted content. Input information is received that comprises a link to a landing page and keyword information. The landing page is evaluated and content including at least one of image data and text data is extracted from the landing page. Properties of the content extracted are analyzed. The content extracted is ranked based on the analyzed properties and application of at least two ranking algorithms. A first ranking algorithm applied ranks the content based on relevance to the landing page and a second ranking algorithm applied ranks the content extracted based on relevance to the keyword information. The ranked content is filtered to remove content or portions of content that are determined to be unappealing based on applying filtering rules to the ranked content. At least one abstract is created from the filtered and ranked content.

Content creation from extracted content

Techniques for content handling for applications are described. In one or more implementations, a first set of content handling policies is enforced for a first portion of an application that is permitted to invoke code elements of the computing device and a second set of content handling policies is enforced for a second portion of the application that is not permitted to invoke the code elements. Further, a determination is made whether to apply the first set of content handling policies or the second set of content handling policies to content based on which portion of the application is requesting the content.

Content handling for applications

Content inspection techniques are described. In one or more implementations, it is detected that an application executing on a computing device is calling a particular code element of a group of code elements to be used to process content. For example, the group of code elements can include a pre-specified group of code elements (e.g., functions and/or properties) that may enable access to particular functionalities of a computing device and thus are associated with a known security risk. It is then ascertained that the content is untrusted and, in response to ascertaining that the content is untrusted, the content is inspected to determine if the content is safe to be passed to the code element.

Content inspection

An access control mechanism in a network connecting one or more sink devices to a server providing audio/visual data (A/V) in streams. As a sink device requests access, the server measures available bandwidth to the sink device. If the measurement of available bandwidth is completed before the sink device requests a stream of audio/visual data, the measured available bandwidth is used to set transmission parameters of the data stream in accordance with a Quality of Service (QoS) policy. If the measurement is not completed when the data stream is requested, the data stream is nonetheless transmitted. In this scenario, the data stream may be transmitted using parameters computed using a cached measurement of the available bandwidth to the sink device. If no cached measurement is available, the data stream is transmitted with a low priority until a measurement can be made. Once the measurement is available, the transmission parameters of the data stream are re-set. With this access control mechanism, A/V streams may be provided with low latency but with transmission parameters accurately set in accordance with the QoS policy.

Quality of service support for A/V streams

A novel packet filtering and processing mechanism solves bandwidth estimation problems related to cross-traffic, host limitations, and fabric-specific issues in order to accurately estimate bottleneck bandwidth in fluctuating environments such as home networks. In particular, the process controls the number of packet train experiments, the size of trains and packets within trains, and other factors to eliminate errors due to cross-traffic, network capture, receiver CPU overload, interrupt moderation, and other networking factors. In an embodiment of the invention, a history window is applied to estimates derived from individual trains to ensure that data used to make a bottleneck bandwidth estimate was taken at a time when the network is relatively stable.

High-accuracy packet pair for network bottleneck bandwidth measurement

A method and apparatus to determine whether a network is quality of service enabled is disclosed. The method may send a variety of test packets through a network and depending on how the network handles the packets, a determination may be made whether the network does not support packets with quality of service identification, tolerates packets with quality of service identification or supports packets with quality of service identification.

Method and apparatus to determine whether a network is quality of service enabled

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Seattle, WA, United States of America

Mathias Jourdain