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pro vyhledávání: '"Sigurdur Sverrisson"'
Publikováno v:
Image Analysis ISBN: 9783030202040
SCIA
SCIA
This paper presents a novel algorithm for real-time tracking-by-detection of players in sports videos. The solution consists of a Convolutional Neural Network with optimized architecture and a new type of Inter Frame Connection logic for data associa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f330f7a5cbc90ac14ae01035280c93d9
https://doi.org/10.1007/978-3-030-20205-7_33
https://doi.org/10.1007/978-3-030-20205-7_33
Autor:
Volodya Grancharov, Jonas Svedberg, Tomas Jansson Toftgård, Sigurdur Sverrisson, Erik Norvell, Harald Pobloth
Publikováno v:
ICASSP
Audio coding of harmonic signals is a challenging task for conventional MDCT coding schemes. In this paper we introduce a novel algorithm for improved transform coding of harmonic audio. The algorithm does not deploy the conventional scheme of splitt
Publikováno v:
ICASSP
The new 3GPP codec for Enhanced Voice Services (EVS) comprises a collection of frame loss concealment techniques, each specifically designed for the different coding modes of that codec. One of them, called “Phase Error Concealment Unit (Phase ECU)
Autor:
Harald Pobloth, Sigurdur Sverrisson, Jonas Svedberg, Stefan Bruhn, Erik Norvell, Volodya Grancharov, Tomas Jansson Toftgård
Publikováno v:
ICASSP
This paper describes a novel audio coding algorithm that is a building block in the recently standardized 3GPP EVS codec [1]. The presented scheme operates in the Modified Discrete Cosine Transform (MDCT) domain and deploys a Split-PVQ pulse coding q