Nokia Technologies Oy

Bumblebee Spaces Inc.

Nokia Corporation

Here Global B.v.

Aaron Licata

Mark Fulks

Christophe Marle

Sankarshan N Murthy

Srikanth Challa

Scott Tandoi

Prahlad Athreya

Adetokunbo Bamidele

Kenneth Walker

Pankaj Jain

Garrett Rayner

Matthew Johnson

Deepthi Krovvidi

Terrence Williams

Ashok Ravula

Bamidele Adetokunbo

Rico L Zorkendorfer

Gabriel Nava-Vazquez

Timur Perelmutov

Jaideep Singh Chavan

A system has a hoist system to lift a payload to a position adjacent to a ceiling of a room Image sensor systems collect visual data and payload depth data within the payload and ambient depth data within the room. A controller is connected to the hoist system and the image sensor systems. The controller is configured to control the motion of the hoist system. The motion of the hoist system is controlled in part by the ambient depth data from the room.

Hoist system with household object payload motion control utilizing ambient depth data

Systems and methods for ease of installation of modular furniture are disclosed herein. Various embodiments include a method comprising: receiving a ceiling scan; mounting a rails system based on the ceiling scan; installing robots for machine control of the modular furniture using the rails system; and positioning the modular furniture using a positioning control system electrically connected to the robots.

Modular furniture installment configuration

A system has a hoist system to lift a payload to a position adjacent to a ceiling of a room. Image sensor systems collect visual data and payload depth data within the payload and ambient depth data within the room. A controller is connected to the hoist system and the image sensor systems. The controller is configured to control the motion of the hoist system. The motion of the hoist system is controlled in part by the ambient depth data from the room.

A streaming video or a stored video is analyzed to identify salient features. The salient features are the more interesting portions of the video because salient features include the most motion. A motion vector field including a motion vector for multiple pixels in the video is generated. The motion vector field is partitioned into grid blocks, and each of the grid blocks is divided into a set of orientation ranges. The vectors of the motion vector field for each grid block are binned into the orientation ranges. A motion score is calculated based on a count of motion vectors for the orientation ranges. The section of the video having higher or the highest motion score is designated as a salient feature. Among other applications, salient features may be used for thumbnail images, highlight reels, or video editing.

Detection of motion activity saliency in a video sequence

An approach is provided for grouping and de-overlapping items in a user interface. A display manager determines one or more items for rendering in a user interface. The display manager then causes, at least in part, a determination of one or more rendering locations for one or more representations of the one or more items based, at least in part, on location information associated with the one or more items. The display manager further causes, at least in part, a grouping, a de-overlapping, or a combination thereof of the one or more representations based, at least in part, on an overlapping of the one or more rendering locations. The display manager also causes, at least in part, a rendering of the one or more representations in the user interface based, at least in part, on the grouping, the de-overlapping, or a combination thereof.

Method and apparatus for grouping and de-overlapping items in a user interface

A method, apparatus and computer program product are provided to display objects in an augmented reality interface. In this regard, the method, apparatus, and computer program product may determine a location of a mobile terminal, receive object meshes for one or more objects in geographic proximity to the mobile terminal, remove, using a processor, one or more polygons from the object meshes, and determine occlusion between the location of the mobile terminal and at least one point of interest. The at least one point of interest may be identified as occluded if a line segment between the location and the at least one point of interest intersects with at least one of the object meshes. The method, apparatus, and computer program product may also include causing the at least one point of interest to not be displayed by an augmented reality interface.

Method and apparatus for detecting occlusion in an augmented reality display

An approach is provided for conducting a search based on an extraction of a search term from available sensor data. The approach involves determining sensor data associated with at least one device, the sensor data determined from among a plurality of available data modes. The approach also involved processing and/or facilitating a processing of the sensor data to cause, at least in part, an extraction of one or more search terms for at least one query. The approach further involves determining one or more results of the at least one query based, at least in part, on context information associated with the at least one device, user profile information associated with the at least one device, or a combination thereof.

Method and apparatus for conducting a search based on available data modes

A method including receiving an image from an image sensor, the image including a portion corresponding to an object; determining distance of the object from the image sensor using the received image; and controlling exposure of the image sensor using the determined distance.

Growing community of inventors

San Ramon, CA, United States of America

Aaron Licata