International Business Machines Corporation

At&t Intellectual Property I, L.p.

Eric Rozner

Su Liu

Inseok Hwang

Chin Ngai Sze

Kanak Behari Agarwal

Yaoguang Wei

Wesley Michael Felter

Chungkuk Yoo

Yu Gu

Keqiang He

John Bruce Carter

Jinho Lee

Karthick Rajamani

Cong Xu

Junaid Khalid

Sarat Puthenpura

Leonid Razoumov

Ioannis Broustis

Janani Mukundan

Zhennan Wang

Maggie Phung

Wenzhi Cui

James Xenidis

Justin Gregory Manweiler

Cliff Chin Ngai Sze

Jan Simon Rellermeyer

A method identifies a type of object in a digital image. A user and/or one or more processors selects, from a plurality of partially overlapping sub-images of a digital image, a first sub-image and a second sub-image that overlap one another. The user/processors input the first sub-image into a neural network to create a first inference result that includes an overlapping inference result, for the overlapping area, that recognizes a partial portion of a specific type of object based on the overlapping area. The user/processors infer that the second sub-image creates a second inference result that recognizes a second portion of the specific type of object in the second sub-image based on the second sub-image and the overlapping inference result. The neural network identifies the specific type of object in the digital image based on the first and second sub-images being sub-images of a same type of object.

Identifying a type of object in a digital image based on overlapping areas of sub-images

A method, computer program product, and a system where a processor(s), monitors multilingual switches performed on a client on behalf of a given user. Based on the monitoring, the processor(s) identifies switch patterns of the given user to generate a service profile for the user of machine learned multilingual switch patterns for the given user. The processor(s) determines a priority order for languages comprising the voice input streams, for the given user. The processor(s) obtains a new translation request initiated by the client, on behalf of the given user and applies the priority order to identify one or more languages spoken in a voice input stream of the new translation request. The processor(s) transmits indicators of the identified one or more languages to the client, where upon receiving the indicators, the client translates the voice input stream from the identified one or more languages to one or more target languages.

Dynamic multilingual speech recognition

Methods and systems for opportunistic multi-party reminders based on sensory data are provided. A system for providing opportunistic multi-party reminders based on sensory data may include a coordination module that coordinates user schedules for a plurality of parties. Also, the system may include a time prediction module that characterizes one or more times in a user schedule in response to gathered context information for one or more parties in the plurality of parties. Further, the system may include a task completion module that identifies at least one time in the one or more times in a user schedule for completing a task in response to the characterization of the one or more times.

Opportunistic multi-party reminders based on sensory data

A method optimizes Convolutional Neural Network (CNN) inference time for full resolution images. One or more processors divide a full resolution image into a plurality of partially overlapping sub-images. The processor(s) select, from the plurality of partially overlapping sub-images, a first sub-image and a second sub-image that overlap one another in an overlapping area. The processor(s) feed the first sub-image, including the overlapping area, into a Convolutional Neural Network (CNN) in order to create a first inference result for the first sub-image, where the CNN has been trained at a fine resolution. The processor(s) cache an inference result from the CNN for the overlapping area, and then utilize the cached inference result when inferring the second sub-image in the CNN. The processor(s) then identify a specific object in the full resolution image based on inferring the first sub-image and the second sub-image.

Overlapping CNN cache reuse in high resolution and streaming-based deep learning inference engines

An augmented reality system collects sensory data from one or more user devices in a manner that is transparent to the user's augmented reality experience. A customer of an augmented reality system requests sensory data at a specified location. The augmented reality system modifies the augmented reality experience for one or more users to move someone to the specified location. The user device(s) collect the sensory data at the specified location in a manner that is transparent to the augmented reality experience of the user(s). The sensory data is uploaded from the user device(s) to the augmented reality system, which sends the sensory data to the customer.

Sensory data collection in an augmented reality system

A first method includes identifying a potential emoji annotation for a selected context within a text source, validating the potential emoji, determining whether the validated emoji annotation is within an emoji annotation list for the selected context, and adding the validated emoji annotation to the emoji annotation list for the selected context responsive to determining that the validated emoji annotation is not within the emoji annotation list for the selected context. A second method includes adding an emoji annotation written in a first language to an emoji annotation list corresponding to the first language, translating the emoji annotation written in the first language to a second language to produce an emoji annotation written in the second language, and adding the emoji annotation written in the second language to an emoji annotation list corresponding to the second language. Corresponding apparatii, computer program products and computer systems are also disclosed herein.

Tracking and managing emoji annotations

Interactive augmented reality system is provided. A first geographical location and a first environmental characteristic is monitored by a user device. A viewpoint of the user device is determined based, at least in part, on (i) the first geographical location and (ii) the first environmental characteristic. A digital image request is generated based, at least in part, on (i) the first geographical location and (ii) the first environmental characteristic. A digital image is identified from a database based, at least in part, on (i) a second geographical location and (ii) a second environmental characteristic associated with the digital image request. In response to identifying the digital image based, at least in part, on the digital image request populating the user device with the digital image.

Virtual view-window

In one embodiment, a method includes modifying at least one aspect of a notification to be displayed on a first portion of a touchscreen of a device in response to a determination that a second portion of the touchscreen includes and/or overlaps with the first portion of the touchscreen. The second portion of the touchscreen os defined by a point on the touchscreen expected to be imminently touched by a user and predetermined areas of the touchscreen adjacent to and surrounding the point.

Adaptive notification modifications for touchscreen interfaces

In one embodiment, a computer program product includes a computer readable storage medium having program instructions embodied therewith. The program instructions are executable by a processing circuit to cause the processing circuit to receive collected data from one or more data collection devices, the collected data being aggregated over at least one month and comprising audio data including first voice input of a user of the one or more data collection devices. The program instructions also cause the processing circuit to store the audio data to a computer readable storage medium; determine an identity of the user based on comparing second voice input to the first voice input; and analyze the audio data for indications of hearing loss in the user over the period of time. The analysis includes determining a user's emotion during production of the audio input.

Daily cognitive monitoring of early signs of hearing loss

A processor may initiate a first verification event. The first verification event may be triggered when a mobile device begins generating new data at a first time. The processor may determine, in response to the first verification event, that the mobile device is above a threshold limit of available storage. The processor may analyze one or more applications on the mobile device. The processor may automatically remove a first re-downloadable portion of a first application binary interface associated with a first application from the mobile device. The processor may store the generated new data on the mobile device.

Instant storage reclamation ensuring uninterrupted media recording

A method includes: receiving light at an image sensor of a digital camera; generating an image based on the received light; detecting an artifact in the image; determining a blocking area of the sensor based on the detecting the artifact; blocking the light at the blocking area; determining whether the artifact is present in the image after the blocking; in response to determining that the artifact is present after the blocking, determining a new blocking area and repeating the blocking and the determining using the new blocking area; and in response to determining that the artifact is not present after the blocking, saving the image in memory.

Eliminating digital image artifacts caused by backlighting

In an approach to parsing and analyzing contracts, one or more computer processors receive a policy agreement. The one or more computer processors parse the policy agreement for terms. The one or more computer processors compile a list of items associated with the terms in the policy agreement. The one or more computer processors associate each item of the list of items with one or more categories, wherein each category of the one or more categories defines an extent of coverage for each item. The one or more computer processors determine whether an item of a user is present in the list of items associated with the one or more terms in the policy agreement. The one or more computer processors determine the categories associated with the item. The one or more computer processors determine the extent of coverage for the item of the user based on the determined categories.

Context-based policy term assistance

Systems, methods, and computer program products customizing and delivering contextually relevant, artificially synthesized, voiced content that is targeted toward the individual user behaviors, viewing habits, experiences and preferences of each individual user accessing the content of a content provider. A network accessible profile service collects and analyzes collected user profile data and recommends contextually applicable voices based on the user's profile data. As user input to access voiced content or triggers voiced content maintained by a content provider, the voiced content being delivered to the user is a modified version comprising artificially synthesized human speech mimicking the recommended voice and delivering the dialogue of the voiced content, in a manner that imitates the sounds and speech patterns of the recommended voice.

Personalized custom synthetic speech

A computer-implemented method according to one embodiment includes receiving specification of a type of point of interest in video data, analyzing frames in the video data for identifying a point of interest in the frames of the specified type, adjusting quality parameters on blocks on the identified point of interest for improving a quality thereof, adjusting quality parameters on blocks not on the identified point of interest for reducing a quality thereof, and outputting a compressed video stream having the adjusted quality parameters. A computer program product for compressing video data according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The computer readable storage medium is not a transitory signal per se. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

Compression of a video stream having frames with relatively heightened quality parameters on blocks on an identified point of interest (PoI)

Provided are techniques for automatically protecting portable and wearable electronic devices from potential hazards by predicting when such hazards may occur. Techniques may include monitoring a plurality of sensors on the mobile computing device; receiving, on the mobile computing device, context data from a plurality of context-service applications; selecting a set of device-protection policies based upon an availability of the plurality of sensors and the plurality of context-service applications, wherein the set of device-protection policies are configured to determine a level of risk to the mobile computing device based on sensor data received from the plurality of sensors and the context data; applying, the sensor data and the context data to the set of device-protection policies to generate the level of risk; and triggering a self-protection action if the level of risk exceeds a pre-determined threshold level of risk.

Growing community of inventors

Austin, TX, United States of America

Eric Rozner