International Business Machines Corporation

Oyla, Inc.

Raghavendra Singh

Ravi Kothari

Vikas Raykar

Ayushi Dalmia

Amit Anil Nanavati

Anindya Neogi

Nilanjan Banerjee

Sachindra Joshi

Sugata Ghosal

Vijay Mann

Amrita Saha

Dharmendra S Modha

Seema Nagar

Amith Singhee

Ashok Pon Kumar Sree Prakash

Yogish Sabharwal

Umamaheswari C Devi

Torsten Steinbach

Priyanka Agrawal

Jayanta Basak

Rajagopal Ananthanarayanan

Ralph Spickermann

Laurent Sebastien Mignet

Subhrajit Bhattacharya

Abhishek Bansal

Sumanta Mukherjee

Srinath Kalluri

Bharat Krishnamurthy

Sourashis Roy

Jaikrishnan Hari

Digbalay Bose

Shyamal S Chandra

A device and method of object detection in a scene by combining traditional 2D visual light imaging such as pixels with 3D data such as a voxel map are described. A single lens directs image light from the scene to a dichroic mirror which then provides light to a both a 2D visible light image sensor and a 3D sensor, such as a time-of-flight sensor that uses a transmitted, modulated IR light beam, which is then synchronously demodulated to determine time of flight as well as 2D coordinates. 2D portions (non-distance) of 3D voxel image data are aligned with the 2D pixel image data such that each is responsive to the same portion of the scene. Embodiments determine true reflectivity, true scale, and image occlusion. 2D images may be enhanced by the 3D true reflectivity. Combined data may be used as training data for object detection and recognition.

Device and method of object detection

Methods, systems, and computer program products for pressure-based apparel image searching are provided herein. A computer-implemented method includes converting images in a product catalog of an electronic commerce website to a predetermined representation; storing the converted images in an index; determining a first object of interest within an image derived from a social media post and displayed on a screen, by detecting physical contact imparted by a user at a position on the screen corresponding to where the first object of interest is located; quantifying the amount of pressure applied by the user via the physical contact; determining additional objects of interest within the image based on the amount of pressure applied by the user; retrieving, from the index, images of products corresponding to the first object of interest and images of products corresponding to the additional objects of interest; and displaying the retrieved images on the screen.

Touch and pressure-based apparel image searching

Methods, systems, and computer program products in connection with a system for bidding on multi-modal sub-spaces for e-commerce searches is provided herein. A computer-implemented method includes representing, in an embedding space affiliated with at least one electronic commerce website: (i) images related to one or more bids and (ii) items of text related to the one or more bids, the images and the items of text both coming from one or more bidding entities. Such a method also includes mapping a query to the embedding space based on a comparison of features of the query to (i) the images and (ii) the items of text. Further, such a method additionally includes selecting at least one of the one or more bidding entities based on the mapping, and outputting, to at least one user in response to the query, search results associated with the at least one selected bidding entity.

Method, computer program product and system for bidding on multi-modal sub-spaces for e-commerce searches

Methods, systems, and computer program products for generating metadata for image-based querying are provided herein. A computer-implemented method includes processing a query image against a database by applying a deep learning visual model to the query image and images contained within the database; retrieving a set of multiple images from the database based on the processing; identifying subsets of images among the set of multiple images by analyzing metadata attribute values of the set of multiple images and nearest neighbor distance values between the query image and the multiple images in the set; determining one or more items of metadata attributable to the query image by processing metadata of the subsets of images; and outputting, to a user, the items of metadata in response to the query image.

Generating metadata for image-based querying

Methods, systems, and computer program products for generating search determinations for assortment planning and buying using visual sketches are provided herein. A computer-implemented method includes processing a query image by identifying one or more visual features in the query image and applying at least one nearest neighbor algorithm to the one or more identified visual features; identifying, from one or more databases, multiple images based at least in part on the processing; generating a result set by applying one or more smoothing algorithms to the multiple identified images; generating at least one sketch based at least in part on the result set; and outputting the at least one generated sketch to one or more users via a user interface.

Generating search determinations for assortment planning using visual sketches

Methods and arrangements for data-driven discovery of collaborative models in an internet of things. At a device in the internet of things setting, data are collected on ambient conditions, and the collected data are stored at the device. At least one other device in the internet of things is communicated with to create and record collaborative states relative to the device and the at least one other device. Other variants and embodiments are broadly contemplated herein.

Discovering capabilities of entities in an internet of things setting

A neural network based search system is provided. A first digital image is analyzed by a user device. A targeted object in the first digital image is determined based, at least in part, on (i) the characteristics of the first digital image and (ii) the features of the targeted object. A vector array is generated based, at least in part, on (i) the first digital image and (ii) the targeted object. The vector array is analyzed by the user device. The targeted object is determined based, at least in part, by the vector array. A plurality of digital images is identified based, at least in part, on the similarity of the plurality of digital images and (i) the first digital image and (ii) the targeted object responsive to identifying a plurality of digital images, a query processing is generated. The query map is generated on a user device.

Visually guided query processing

Methods and arrangements for determining one or more actions needed to execute a task communicated to a first device in an Internet of Things. At a first device in the Internet of Things, there is received a communication associated with a task. A data store is consulted for data associated with the task, and thereupon there is determined the present capability of the first device for executing the task collaboratively with at least one other device in the Internet of Things. The at least one other device is communicated with, to assess capability for executing the task collaboratively with the at least one other device. There are thereupon determined one or more actions of the first device that need to be taken to execute the task. Other variants and embodiments are broadly contemplated herein.

Actuation using collaboration models in an internet of things setting

Methods, systems, and computer program products for pressure-based apparel image searching are provided herein. A computer-implemented method includes determining an object of interest within an image displayed on a screen by detecting physical contact imparted by a user at a particular position on the screen corresponding to where the first object is located; quantifying the amount of pressure applied by the user via the physical contact; determining additional objects of interest based on the amount of pressure applied by the user by identifying objects that are located within a specified distance from the first object, and wherein the specified distance corresponds to the amount of pressure applied by the user; retrieving, from at least one electronic commerce website, images of products corresponding to the first object of interest and images of products corresponding to each of the additional objects of interest; and displaying the retrieved images on the screen.

One embodiment provides a method of identifying a location of a target object within a plurality of images, the method including: utilizing at least one processor to execute computer code that performs the steps of: receiving a plurality of images; receiving position information indicating a central location, wherein the central location comprises a location that the plurality of images were taken; receiving direction information indicating a position of a target object with respect to the central location, wherein one of the plurality of images contains the target object; and determining, using the position information and the direction information, a target location, wherein the target location comprises a location of the target object. Other aspects are described and claimed.

Verification of business processes using spatio-temporal data

Methods, systems, and computer program products for implementing a media distribution network for live streaming are provided herein. A computer-implemented method includes directing live video content from a sender device to a first video processing node hosted on a first server within a network, wherein the first server is located within a given geographical proximity of the sender device; determining locations within the network for hosting additional video processing nodes within a given geographical proximity of a receiver device; transmitting the live video content from the first video processing node to an additional video processing node within the network by implementing (i) a multicast overlay network over the network and (ii) a data transfer protocol between the video processing nodes in conjunction with the multicast overlay network; and transmitting the live video content from the additional video processing node to the receiver device associated with the additional video processing node.

Media distribution network for live streaming

Techniques, a system and an article of manufacture for translation decomposition and execution. A method includes decomposing a document associated with a document translation request into two or more document parts based on meta-data of the document and content of the document, estimating translation complexity between a source language and a target language for each of the two or more document parts, classifying the two or more document parts based on the estimated translation complexity of each part and meta-data corresponding to each part, assigning each of the two or more document parts to a particular individual amongst a set of translators for translation based on the classification of each part and one or more variables associated with the set of translators, assembling each translation output for the two or more document parts to form a final output, and formatting the final output.

Document decomposition into parts based upon translation complexity for translation assignment and execution

Methods and arrangements for identifying and characterizing subgraphs of a network. In a network comprising a plurality of nodes and edges, there is identified a subgraph including a plurality of nodes. Communication workload closure of the subgraph is calculated via: identifying and counting all length-paths in the network that include at least one of the nodes of the subgraph, each length-path including three nodes and two edges interconnecting the three nodes; for each of the length-paths, determining whether all three nodes belong to the subgraph; thereupon identifying and counting a subset of the length-paths wherein, for each path in the subset, all three nodes of the path belong to the subgraph; and dividing the number of paths in the subset by the total number of length-paths that include at least one of the nodes of the subgraph. Other variants and embodiments are broadly contemplated herein.

Calculating workload closure in networks

Adaptive and integrated visualization of spatiotemporal data from large-scale simulation, is provided. A simulation is performed utilizing a simulator comprising multiple processors, generating spatiotemporal data samples from the simulation. Each data sample has spatial coordinates with a time stamp at a specific time resolution, and a tag. The data samples are assembled into data streams based on at least one of a spatial relationship and the corresponding tag. Each data stream is encoded into multiple formats, and an integrated and adaptive visualization of the data streams is displayed, wherein various data streams are simultaneously and synchronously displayed.

Adaptive and integrated visualization of spatiotemporal data from large-scale simulations

Predicting battery drain time that would be caused by a new application being considered for a smartphone. The battery drain time prediction is based on the type of smartphone and type of battery, the battery age, and hardware subunit usage levels. The system may provide a watchdog service for monitoring and storing data of user's smartphone which may then be used to create a user profile. Upon receiving a request for a battery drain time prediction, the system matches the profile of the user's smartphone with an existing profile in the repository having pre-installation and post-installation data for the application being considered. The matching user profile can be used to predict battery drain time that will be caused by the new application.

Growing community of inventors

New Delhi, India

Raghavendra Singh