@article{JensHerder1999, author = {Jens Herder,}, title = {Optimization of Sound Spatialization Resource Management through Clustering}, series = {Journal of the 3D-Forum Society}, volume = {13}, journal = {Journal of the 3D-Forum Society}, number = {3}, pages = {59 -- 65}, year = {1999}, abstract = {Level-of-detail is a concept well-known in computer graphics to reduce the number of rendered polygons. Depending on the distance to the subject (viewer), the objects' representation is changed. A similar concept is the clustering of sound sources for sound spatialization. Clusters can be used to hierarchically organize mixelsand to optimize the use of resources, by grouping multiple sources together into a single representative source. Such a clustering process should minimize the error of position allocation of elements, perceived as angle and distance, and also differences between velocity relative to the sink (i.e., Doppler shift). Objects with similar direction of motion and speed (relative to sink) in the same acoustic resolution cone and with similar distance to a sink can be grouped together.}, language = {de} } @inproceedings{Herder1999, author = {Herder, Jens}, title = {Optimization of Sound Spatialization Resource Management through Clustering}, series = {Second International Conference on Human and Computer}, booktitle = {Second International Conference on Human and Computer}, address = {Aizu-Wakamatsu}, pages = {1 -- 7}, year = {1999}, abstract = {Level-of-detail is a concept well-known in computer graphics to reduce the number of rendered polygons. Depending on the distance to the subject (viewer), the objects' representation is changed. A similar concept is the clustering of sound sources for sound spatialization. Clusters can be used to hierarchically organize mixels and to optimize the use of resources, by grouping multiple sources together into a single representative ource. Such a clustering process should minimize the error of position allocation of elements, perceived as angle and distance, and also differences between velocity relative to the sink (i.e., Doppler shift). Objects with similar direction of motion and speed (relative to sink) in the same acoustic resolution cone and with similar distance to a sink can be grouped together.}, language = {en} } @misc{Herder2000, author = {Herder, Jens}, title = {Interactive Sound Spatialization - a Primer}, series = {MM News, University of Aizu Multimedia Center}, volume = {8}, journal = {MM News, University of Aizu Multimedia Center}, pages = {8 -- 12}, year = {2000}, abstract = {Sound spatialization is a technology which puts sound into the three dimensional space, so that it has a perceivable direction and distance. Interactive means mutually or reciprocally active. Interaction is when one action (e.g., user moves mouse) has direct or immediate influence to other actions (e.g., processing by a computer: graphics change in size). Based on this definition an introduction to sound reproduction using DVD and virtual environments is given and illustrated by applications (e.g., virtual converts).}, language = {mul} } @article{Herder1999, author = {Herder, Jens}, title = {Visualization of a Clustering Algorithm of Sound Sources based on Localization Errors}, series = {Journal of the 3D-Forum Society}, volume = {13}, journal = {Journal of the 3D-Forum Society}, number = {3}, pages = {66 -- 70}, year = {1999}, abstract = {A module for soundscape monitoring and visualizing resource management processes was extended for presenting clusters, generated by a novel sound source clustering algorithm. This algorithm groups multiple sound sources together into a single representative source, considering localization errors depending on listener orientation. Localization errors are visualized for each cluster using resolution cones. Visualization is done in runtime and allows understanding and evaluation of the clustering algorithm.}, language = {en} } @inproceedings{Herder1999, author = {Herder, Jens}, title = {Visualization of a Clustering Algorithm of Sound Sources based on Localization Errors}, series = {Second International Conference on Human and Computer}, booktitle = {Second International Conference on Human and Computer}, address = {Aizu-Wakamatsu}, pages = {1 -- 5}, year = {1999}, abstract = {A module for soundscape monitoring and visualizing resource management processes was extended for presenting clusters, generated by a novel sound source clustering algorithm. This algorithm groups multiple sound sources together into a single representative source, considering localization errors depending on listener orientation. Localization errors are visualized for each cluster using resolution cones. Visualization is done in runtime and allows understanding and evaluation of the clustering algorithm.}, language = {en} }