Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Benedikt Hornler"'
Autor:
Jürgen Gast, Anja Hothker, Florian Eyben, Gerhard Rigoll, Hitoshi Konosu, R. Muller, Martin Wöllmer, Benedikt Hornler, Björn Schuller
Automatic detection of the level of human interest is of high relevance for many technical applications, such as automatic customer care or tutoring systems. However, the recognition of spontaneous interest in natural conversations independently of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2e0cbcc0fa621543aabed13ad276030
http://hdl.handle.net/10044/1/13932
http://hdl.handle.net/10044/1/13932
Publikováno v:
DPS
Video surveillance systems are omnipresent in our daily life, but still suffer from some drawbacks, which hardens the integration of fully automated systems. Currently standards CCD sensors are used to monitor public and private spaces. These are not
Publikováno v:
DPS
In this work we present a multi-modal video editing system for meetings, which uses graphical models for the segmentation and classification of the video modes. The task of video editing is about selecting the camera, that represents the meeting in t
Publikováno v:
DPS
Recently great interest has been shown in the visual surveillance of public transportation systems. The challenge is the automated analysis of passenger's behaviors with a set of visual low-level features, which can be extracted robustly. On a set of
Publikováno v:
ICME
Automatic labeling of chords in original audio recordings is challenging due to heavy acoustic overlay by melody and percussion sections, detuning and arpeggios that demand for a measure-grid to assign notes to chords. Further chord labeling benefits
Publikováno v:
ICME
In this work semantic features are used to improve the results of the camera selection. These semantic features are group action, person action and person speaking. For this purpose low level acoustic and visual features are combined with high level
Publikováno v:
ICASSP
Using discrete Hidden-Markov-Models (HMMs) for recognition requires the quantization of the continuous feature vectors. In handwritten whiteboard note recognition it turns out that the pen-pressure information, which is important for recognition, is
Autor:
Gerhard Rigoll, Benedikt Hornler
Publikováno v:
ICASSP
In this paper a new approach for activity and dominance modeling in meetings is presented. For this purpose low level acoustic and visual features are extracted from audio and video capture devices. Hidden Markov Models (HMM) are used for the segment
GMs in On-Line Handwritten Whiteboard Note Recognition: The Influence of Implementation and Modeling
Publikováno v:
ICDAR
We present a comparison of two state-of-the-art toolboxes for implementing Graphical Models (GMs), namely the HTK and the GMTK, and their use for discrete on-line handwritten whiteboard note recognition. We then motivate a GM that is capable of model
Publikováno v:
ICME
This work introduces a robot driven camera controlled by speech. The SIMIS database of 20 recordings of real life surgical operations serves as basis for analyses and noise modelling. To overcome low recognition performance due to high noise levels d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5898ae1dda8b65495f065304929f8003
https://mediatum.ub.tum.de/1289049
https://mediatum.ub.tum.de/1289049