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MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I

MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I

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  • More about MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I

The two-volume set LNCS 13833 and LNCS 13834 contains the proceedings of the 29th International Conference on MultiMedia Modeling, MMM 2023, which took place in Bergen, Norway, with 86 papers focusing on multimedia content analysis, signal processing, and applications.

Format: Paperback / softback
Length: 702 pages
Publication date: 29 March 2023
Publisher: Springer International Publishing AG


The 29th International Conference on MultiMedia Modeling (MMM 2023) was held in Bergen, Norway, from January 9th to 12th, 2023. This conference, organized by the European Association for Computer Science and Technology (EACST), brought together experts and researchers from around the world to discuss the latest advancements in multimedia modeling, signal processing, communications, and applications.

The conference proceedings, published in two volumes as LNCS 13833 and LNCS 13834, encompass a wide range of topics and represent the state-of-the-art research in the field. The 86 papers included in these proceedings were carefully reviewed and selected from a total of 267 submissions, showcasing the high quality and originality of the research presented.

The papers in the proceedings cover various aspects of multimedia content analysis, including techniques for extracting meaningful information from images, videos, and audio signals. They explore topics such as image recognition, video surveillance, and speech recognition, using advanced machine learning algorithms and deep learning techniques.

Multimedia signal processing and communications also play a significant role in the conference proceedings. Researchers discuss innovative methods for compressing and transmitting multimedia data, as well as developing new communication protocols for multimedia applications. They explore techniques such as video coding, audio compression, and network optimization to improve the quality and efficiency of multimedia communication.

Multimedia applications and services are another focus of the conference proceedings. Papers explore the development of multimedia applications for education, entertainment, healthcare, and other fields. They discuss the design and implementation of user-friendly interfaces, the integration of multimedia technologies with other domains, and the challenges faced in developing multimedia applications for diverse platforms and devices.

The conference proceedings also include several keynote speeches and invited talks by renowned experts in the field. These presentations provide insights into the latest trends, challenges, and opportunities in multimedia modeling, signal processing, communications, and applications.

Overall, the 29th International Conference on MultiMedia Modeling (MMM 2023) was a successful event that brought together researchers, practitioners, and industry professionals to exchange ideas and advance the field of multimedia modeling. The conference proceedings, published in LNCS 13833 and LNCS 13834, serve as a valuable resource for researchers, students, and practitioners interested in multimedia technology.

The 29th International Conference on MultiMedia Modeling (MMM 2023) was held in Bergen, Norway, from January 9th to 12th, 2023. This conference, organized by the European Association for Computer Science and Technology (EACST), brought together experts and researchers from around the world to discuss the latest advancements in multimedia modeling, signal processing, communications, and applications.

The conference proceedings, published in two volumes as LNCS 13833 and LNCS 13834, encompass a wide range of topics and represent the state-of-the-art research in the field. The 86 papers included in these proceedings were carefully reviewed and selected from a total of 267 submissions, showcasing the high quality and originality of the research presented.

The papers in the proceedings cover various aspects of multimedia content analysis, including techniques for extracting meaningful information from images, videos, and audio signals. They explore topics such as image recognition, video surveillance, and speech recognition, using advanced machine learning algorithms and deep learning techniques.

Multimedia signal processing and communications also play a significant role in the conference proceedings. Researchers discuss innovative methods for compressing and transmitting multimedia data, as well as developing new communication protocols for multimedia applications. They explore techniques such as video coding, audio compression, and network optimization to improve the quality and efficiency of multimedia communication.

Multimedia applications and services are another focus of the conference proceedings. Papers explore the development of multimedia applications for education, entertainment, healthcare, and other fields. They discuss the design and implementation of user-friendly interfaces, the integration of multimedia technologies with other domains, and the challenges faced in developing multimedia applications for diverse platforms and devices.

The conference proceedings also include several keynote speeches and invited talks by renowned experts in the field. These presentations provide insights into the latest trends, challenges, and opportunities in multimedia modeling, signal processing, communications, and applications.

Overall, the 29th International Conference on MultiMedia Modeling (MMM 2023) was a successful event that brought together researchers, practitioners, and industry professionals to exchange ideas and advance the field of multimedia modeling. The conference proceedings, published in LNCS 13833 and LNCS 13834, serve as a valuable resource for researchers, students, and practitioners interested in multimedia technology.

Weight: 1110g
Dimension: 235 x 155 (mm)
ISBN-13: 9783031270765
Edition number: 1st ed. 2023

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