Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Luca Cuccovillo"'
Publikováno v:
Multimedia Tools and Applications. 80:22619-22641
In this paper, we describe various application scenarios for archive management, broadcast/stream analysis, media search and media forensics which require the detection and accurate localization of unknown partial audio matches within items and datas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3bcf784085318cbd0f2142b5080d017
https://doi.org/10.1007/s11042-020-09912-4
https://doi.org/10.1007/s11042-020-09912-4
Publikováno v:
2022 30th European Signal Processing Conference (EUSIPCO).
This work proposes a method for source device identification from speech recordings that applies neural-network-based denoising, to mitigate the impact of counter-forensics attacks using noise injection. The method is evaluated by comparing the impac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed40cd3cddcf3defefc891ca54dd1a48
https://doi.org/10.23919/eusipco55093.2022.9909800
https://doi.org/10.23919/eusipco55093.2022.9909800
Autor:
Bogdan Ionescu, Giorgos Kordopatis-Zilos, Adrian Popescu, Luca Cuccovillo, Symeon Papadopoulos
Publikováno v:
Proceedings of the 2022 International Conference on Multimedia Retrieval.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68f5679ec66d13324eb01a9a9f3078ec
https://doi.org/10.1145/3512527.3531440
https://doi.org/10.1145/3512527.3531440
In this paper, we propose the use of denoising for microphone classification, to enable its usage for several key application domains that involve noisy conditions. We describe the proposed analysis pipeline and the baseline algorithm for microphone
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92ead8def2ade131b8bf720fc92f94bc
http://arxiv.org/abs/2204.02841
http://arxiv.org/abs/2204.02841
In this paper we present a novel approach for environment classification for speech recordings, which does not require the selection of decaying reverberation tails. It is based on a multi-band RT60 analysis of blind channel estimates and achieves an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::387d353dc8fb9ea100f287aaa9580a17
Publikováno v:
CBMI
Within recent years, several applications have emerged which require detection and accurate localization of unknown partial audio matches within a dataset. This requirement cannot be adequately addressed with state-of-the-art matching approaches base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::934826612ea996a625caf724336b0c81
https://doi.org/10.1109/cbmi.2018.8516477
https://doi.org/10.1109/cbmi.2018.8516477
Publikováno v:
ICME
The following paper presents our work on audio phylogeny with a focus on two application scenarios: audiovisual (A/V) archives and tampering detection. Starting from a set of near-duplicate audio files, our goal is to determine the processing history
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb842ec525d04f01ac511bfaf5bd8440
https://doi.org/10.1109/icme.2017.8019547
https://doi.org/10.1109/icme.2017.8019547
Autor:
Patrick Aichroth, Luca Cuccovillo
Publikováno v:
ICASSP
In this paper, we present a new algorithm for open-set microphone classification, which is based on a pre-existing blind channel estimation approach. The proposed method achieves a Rand index above 93% for AAC, MP3 and PCM-encoded recordings from eig
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd36adcb46fd37724e0ab1df7b87ab30
https://doi.org/10.1109/icassp.2016.7472042
https://doi.org/10.1109/icassp.2016.7472042
Publikováno v:
ICASSP
In this paper, we propose a new method for AAC encoding detection and bitrate estimation from PCM material. The algorithm is based on a Convolutional Neural Network that can distinguish between eight different bitrates. It achieves an average accurac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4e2fcd471724525b11734f11841bae8
https://doi.org/10.1109/icassp.2016.7472041
https://doi.org/10.1109/icassp.2016.7472041
Publikováno v:
EUVIP
One of the major issues in multimedia forensics is the identification of video acquisition devices. Most of the relevant state-of-the-art solutions rely on either visual or audio analysis, using feature arrays that are highly correlated with the char
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5c8cd899822149b287ae35c040dedce
https://doi.org/10.1109/euvip.2014.7018382
https://doi.org/10.1109/euvip.2014.7018382