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Institution

Nokia

CompanyEspoo, Finland
About: Nokia is a company organization based out in Espoo, Finland. It is known for research contribution in the topics: Signal & Mobile station. The organization has 16625 authors who have published 28347 publications receiving 695725 citations. The organization is also known as: Nokia Oyj & Oy Nokia Ab.


Papers
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Patent
12 Jan 2010
TL;DR: In this paper, the authors propose a resource allocation method for device-to-device communication with a base station, based on the received resource allocations from the second-party device for communication with the base station.
Abstract: According to one general aspect, a method may include communicating, by a first apparatus, with at least a second apparatus via a device-to-device communication link. In various embodiments, the method may also include receiving resource allocations, from a base station. In some embodiments, the method may include determining, based at least partly on the received resource allocations, which resources are allocated to at least the second apparatus for communication with the base station. In various embodiments, the method may include based at least partly upon the resource allocations, determining when to perform direct device-to-device communication, by the first apparatus, with the second apparatus.

137 citations

Patent
22 Dec 2005
TL;DR: In this article, the authors present a method for presenting contextual information to a digital device in relation to a period of time, as well as, current and future or forecasted contextual information.
Abstract: The invention provides a presentation of contextual information to a digital device in relation to a period of time. As such the invention provides for efficient user access to historical, as well as, current and future or forecasted contextual information. In addition, the present invention provides for current contextual information to be presented in an idle mode view, a scrolling bar mode view or another inconspicuous view. Additionally the present invention provides a novel means of using context information to create multimedia file presentations; image or video file presentations that can be associated with previous periods of time, locations or other context data.

137 citations

Patent
31 Dec 2001
TL;DR: In this paper, the location information of a mobile station (MS) is sent as a SMS through the network (PLMN1), without having to pre-register the mobile station for location information service.
Abstract: A cellular telecommunications network provides a location information service. A landmark location server (11) has an associated data store (12) of data concerning location information associated with individual cells of the network. The server (11) is responsive to a request for location information from a mobile station (MS1). The request is sent as a SMS through the network (PLMN1). The server (11) obtains location information from the data store (12) based on the cell (C1) occupied by MS1 or another mobile station (MS2). The network is configured to send the location information as a SMS to the mobile station (MS1) that requested the information, without having to pre-register the mobile station for the location information service.

137 citations

Proceedings ArticleDOI
16 Jun 2012
TL;DR: It is shown that exploiting the box like geometric structure of furniture and constraints provided by the scene, allows us to recover the extent of major furniture objects in 3D.
Abstract: In this paper we consider the problem of recovering the free space of an indoor scene from its single image We show that exploiting the box like geometric structure of furniture and constraints provided by the scene, allows us to recover the extent of major furniture objects in 3D Our “boxy” detector localizes box shaped objects oriented parallel to the scene across different scales and object types, and thus blocks out the occupied space in the scene To localize the objects more accurately in 3D we introduce a set of specially designed features that capture the floor contact points of the objects Image based metrics are not very indicative of performance in 3D We make the first attempt to evaluate single view based occupancy estimates for 3D errors and propose several task driven performance measures towards it On our dataset of 592 indoor images marked with full 3D geometry of the scene, we show that: (a) our detector works well using image based metrics; (b) our refinement method produces significant improvements in localization in 3D; and (c) if one evaluates using 3D metrics, our method offers major improvements over other single view based scene geometry estimation methods

137 citations

Patent
Miska Hannuksela1
29 Apr 2004
TL;DR: In this paper, an arrangement step is performed for arranging the pictures in an encoding order, and information on the presentation order is defined for the encoded pictures, and a parameter indicative of the difference between the expected increment value and the real increment value is calculated.
Abstract: Encoded pictures comprise one or more independently decodable frames, reference frames, and predicted frames In the method an arrangement step is performed for arranging the pictures in an encoding order, and information on the presentation order is defined for the encoded pictures Further in the method, a transmission step is performed for transmitting said encoded pictures to a decoder, a decoding step for decoding the encoded pictures for forming decoded pictures, and rearranging step for arranging the decoded pictures in presentation order An expected increment value of the presentation order per picture is defined, and a parameter indicative of the difference between the expected increment value and the real increment value is calculated The calculated parameter is VLC coded, and the VLC coded parameter is transmitted, wherein the VLC coded parameter is used in the decoder for arranging the decoded pictures in correct presentation order

137 citations


Authors

Showing all 16635 results

NameH-indexPapersCitations
Federico Capasso134118976957
Andreas Richter11076948262
Shunpei Yamazaki109347666579
Jinsong Huang10529049042
Marc Pollefeys9860136463
Merouane Debbah9665241140
Benjamin J. Eggleton92119534486
Jérôme Faist9197037221
Jean-Pierre Hubaux9041535837
Bernd Girod8760432298
Howard E. Katz8747527991
J.J. Garcia-Luna-Aceves8660225151
Ramesh Raskar8667030675
Ananth Dodabalapur8539427246
Stephen A. Spector8542441705
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202223
2021225
2020465
2019547
2018477