Deutsche Telekom

About: Deutsche Telekom is a company organization based out in Welwyn Garden City, United Kingdom. It is known for research contribution in the topics: Telecommunications network & Signal. The organization has 3473 authors who have published 5208 publications receiving 65429 citations. The organization is also known as: DTAG & German Telecom.

Bitstream-Based Model Standard for 4K/UHD: ITU-T P.1204.3 — Model Details, Evaluation, Analysis and Open Source Implementation

Abstract: With the increasing requirement of users to view high-quality videos with a constrained bandwidth, typically realized using HTTP-based adaptive streaming, it becomes more and more important to determine the quality of the encoded videos accurately, to assess and possibly optimize the overall streaming quality In this paper, we describe a bitstream-based no-reference video quality model developed as part of the latest model-development competition conducted by ITU-T Study Group 12 and the Video Quality Experts Group (VQEG), “PNATS Phase 2” It is now part of the new P1204 series of Recommendations as P12043 It can be applied to bitstreams encoded with H264/AVC, HEVC and VP9, using various encoding options, including resolution, bitrate, framerate and typical encoder settings such as number of passes, rate control variants and speeds The proposed model follows an ensemble-modelling-inspired approach with weighted parametric and machine-learning parts to efficiently leverage the performance of both approaches The paper provides details about the general approach to modelling, the features used and the final feature aggregation The model creates per-segment and per-second video quality scores on the 5-point Absolute Category Rating scale, and is applicable to segments of 5–10 seconds duration It covers both PC/TV and mobile/tablet viewing scenarios We outline the databases on which the model was trained and validated as part of the competition, and perform an additional evaluation using a total of four independently created databases, where resolutions varied from 360p to 2160p, and frame rates from 15–60fps, using realistic coding and bitrate settings We found that the model performs well on the independent dataset, with a Pearson correlation of 0942 and an RMSE of 042 We also provide an open-source reference implementation of the described P12043 model, as well as the multi-codec bitstream parser required to extract the input data, which is not part of the standard

Method for operating a database

Abstract: A method for operating a database containing personal information includes checking the content of a message sent via a telecommunication network for the presence of personal information. If personal information is found, then the personal information is extracted from the message, the extracted information is associated with at least one person, and the extracted information is stored in a database.

37.5 km urban field trial of OFDMA-PON using colorless ONUs with dynamic bandwidth allocation and TCM [invited]

Abstract: The orthogonal frequency division multiple access (OFDMA)-based passive optical network (PON) is a potential candidate to meet the flexibility requirements for next-generation optical access networks. We propose an OFDMA-based PON with a transmission employing intensity modulation/direct detection in the downstream and a remodulation of a remotely seeded carrier provided by the optical line terminal with coherent detection in the upstream, which enables cost-effective colorless optical network units (ONUs). Furthermore, an OFDMA-PON field trial using the proposed scheme over 37.5 km feeder fiber is demonstrated. A power budget supporting 32 ONUs with dynamic bandwidth allocation and trellis coded modulation (TCM) is reported.

Smart glasses linking real live and social network's contacts by face recognition

Abstract: Imagine you participate in a big meeting with several people remotely known to you. You remember their faces but not their names. This is where "Smart Glasses" supports you: Smart Glasses consist of a (wearable) display, a tiny camera, some local processing power and an uplink to a backend service. The current implementation is based on Android and runs on smartphones, early research prototypes with different types of wearable displays have been evaluated as well. The system executes face detection and face tracking locally on the device (e.g. smartphone) and then links to the service running in the cloud to perform the actual face recognition based on the user's personal contact list (gallery). Recognized and identified persons are then displayed with names and latest social network activities.The approach is directed towards an AR ecosystem for mobile use. Therefore, open interfaces on the device are provided as well as to the service backend. We intend to take today's location based AR systems one step further towards computer vision based AR to really fit the needs of today's and tomorrow's users.

Opportunistic spectrum access in mobile cognitive radio networks

Abstract: A method of spectrum access for wireless communications by a secondary unlicensed unit in a CRN environment comprising one or more secondary unlicensed mobile units and one or more primary licensed units includes receiving information indicative of a location and movement of one or more secondary unlicensed units and a channel usage pattern and spatial distribution of one or more primary licensed units is accessed and a guard distance to shield the one or more primary licensed units from interference is calculated. The channel availability to the one or more secondary unlicensed units is then calculated according to a two-state Markov model including the guard distance as a constraint and based on the information indicative of the location and movement of the one or more secondary unlicensed units and the channel usage pattern and spatial distribution of the one or more primary licensed units.