TY - GEN
T1 - Mulsemedia Data Representation Based on Multi-image Concept
AU - Sulema, Yevgeniya
AU - Bhattacharya, Abhishek
AU - Murray, Niall
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - MulseMedia technology enables operation with multimodal data sets that requires their complex representation. In this paper, we propose a mathematical background of MulseMedia data representation. The application of both Algebraic System of Aggregates and Multi-Image Concept allows efficient representation and processing of MulseMedia data in computer systems as well as encourages development of new algorithms for data processing, including data compression and data modelling.
AB - MulseMedia technology enables operation with multimodal data sets that requires their complex representation. In this paper, we propose a mathematical background of MulseMedia data representation. The application of both Algebraic System of Aggregates and Multi-Image Concept allows efficient representation and processing of MulseMedia data in computer systems as well as encourages development of new algorithms for data processing, including data compression and data modelling.
KW - Algebraic system of aggregates
KW - Mulsemedia
KW - Multi-image
KW - Multimodal data
UR - http://www.scopus.com/inward/record.url?scp=85091478628&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-49932-7_46
DO - 10.1007/978-3-030-49932-7_46
M3 - Conference contribution
AN - SCOPUS:85091478628
SN - 9783030499310
T3 - Advances in Intelligent Systems and Computing
SP - 480
EP - 491
BT - Internet of Things, Infrastructures and Mobile Applications - Proceedings of the 13th IMCL Conference, IMCL 2019
A2 - Auer, Michael E.
A2 - Tsiatsos, Thrasyvoulos
PB - Springer Science and Business Media Deutschland GmbH
T2 - 13th International Conference on Interactive Mobile Communication, Technologies and Learning, IMCL 2019
Y2 - 31 October 2019 through 1 November 2019
ER -