Tag: Multimedia

IK Multimedia TONEX MAX v1.7.3


Free Download IK Multimedia TONEX MAX v1.7.3 | 1.82 GB
A revolutionary concept in rig modeling, and the core of the TONEX ecosystem, TONEX software uses breakthrough AI Machine Modeling™ technology to let you model the sound of any amp, cabinet, combo or pedal, and turn it into a plug-in, all with a sonic accuracy that’s virtually indistinguishable from the real thing. You can instantly play up to 1,000+ Tone Models already available plus browse, demo and download the growing number of Tone Models available on TONEX in ToneNET.

(more…)

IK Multimedia TONEX MAX v1.7.2


Free Download IK Multimedia TONEX MAX v1.7.2 | 1.82 GB
A revolutionary concept in rig modeling, and the core of the TONEX ecosystem, TONEX software uses breakthrough AI Machine Modeling™ technology to let you model the sound of any amp, cabinet, combo or pedal, and turn it into a plug-in, all with a sonic accuracy that’s virtually indistinguishable from the real thing. You can instantly play up to 1,000+ Tone Models already available plus browse, demo and download the growing number of Tone Models available on TONEX in ToneNET.

(more…)

IK Multimedia TONEX MAX v1.7.1


Free Download IK Multimedia TONEX MAX v1.7.1 | 1.81 GB
A revolutionary concept in rig modeling, and the core of the TONEX ecosystem, TONEX software uses breakthrough AI Machine Modeling™ technology to let you model the sound of any amp, cabinet, combo or pedal, and turn it into a plug-in, all with a sonic accuracy that’s virtually indistinguishable from the real thing. You can instantly play up to 1,000+ Tone Models already available plus browse, demo and download the growing number of Tone Models available on TONEX in ToneNET.

(more…)

Supervised and Unsupervised Data Engineering for Multimedia Data (EPUB)


Free Download Supervised and Unsupervised Data Engineering for Multimedia Data
English | 2024 | ISBN: 1119786347 | 372 Pages | EPUB | 7 MB
Supervised and Unsupervised Data Engineering for Multimedia Data presents a groundbreaking exploration into the intricacies of handling multimedia data through the lenses of both supervised and unsupervised data engineering. Authored by a team of accomplished experts in the field, this comprehensive volume serves as a go-to resource for data scientists, computer scientists, and researchers seeking a profound understanding of cutting-edge methodologies.

(more…)

Multimedia Technology and Enhanced Learning 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29,


Free Download Bing Wang, "Multimedia Technology and Enhanced Learning: 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, "
English | ISBN: 303150576X | 2024 | 444 pages | PDF | 9 MB
The four-volume set LNICST 532, 533, 534 and 535 constitutes the refereed proceedings of the 5th EAI International Conference on Multimedia Technology and Enhanced Learning, ICMTEL 2023, held in Leicester, UK, during April 28-29, 2023.

(more…)

Multimedia Data Hiding


Free Download Multimedia Data Hiding by Min Wu , Bede Liu
English | PDF (True) | 2003 | 228 Pages | ISBN : 0387954260 | 21.7 MB
The digital information revolution has brought about profound changes in our society and our life. New devices and powerful software have made it possible for consumers worldwide to create, manipulate, share, and enjoy the multimedia information. Internet and wireless networks offer ubiquitous channels to deliver and to exchange multimedia information for such pur poses as remote collaboration, distant learning, and entertainment. With all these advances in multimedia coding and communication technologies over the past decade, the major hurdle for allowing much broader access of multimedia assets and deployment of multimedia services no longer lies with bandwidth-related issues, but with how to make sure that content is used for its intended purpose by its intended recipients. The core issue then be comes the development of secure management of content usage and delivery across communication networks. Data hiding and digital watermarking are promising new technologies for multimedia information protection and rights management. Secondary data can be embedded imperceptibly in digital multimedia signals for a variety of applications, including ownership protection, authentication, access con trol, and annotation. Data hiding can also be used to send side information in multimedia communication for providing additional functionalities or for enhancing performance. The extraction of the embedded data mayor may not need knowledge of the original host media data. In addition to im perceptibility, robustness against moderate processing such as compression is also an important consideration.

(more…)

Multimedia Data Hiding


Free Download Multimedia Data Hiding by Min Wu , Bede Liu
English | PDF (True) | 2003 | 228 Pages | ISBN : 0387954260 | 21.7 MB
The digital information revolution has brought about profound changes in our society and our life. New devices and powerful software have made it possible for consumers worldwide to create, manipulate, share, and enjoy the multimedia information. Internet and wireless networks offer ubiquitous channels to deliver and to exchange multimedia information for such pur poses as remote collaboration, distant learning, and entertainment. With all these advances in multimedia coding and communication technologies over the past decade, the major hurdle for allowing much broader access of multimedia assets and deployment of multimedia services no longer lies with bandwidth-related issues, but with how to make sure that content is used for its intended purpose by its intended recipients. The core issue then be comes the development of secure management of content usage and delivery across communication networks. Data hiding and digital watermarking are promising new technologies for multimedia information protection and rights management. Secondary data can be embedded imperceptibly in digital multimedia signals for a variety of applications, including ownership protection, authentication, access con trol, and annotation. Data hiding can also be used to send side information in multimedia communication for providing additional functionalities or for enhancing performance. The extraction of the embedded data mayor may not need knowledge of the original host media data. In addition to im perceptibility, robustness against moderate processing such as compression is also an important consideration.

(more…)

MultiMedia Modeling (Part II)


Free Download MultiMedia Modeling: 27th International Conference, MMM 2021, Prague, Czech Republic, June 22-24, 2021, Proceedings, Part II by Jakub Lokoč
English | PDF | 2021 | 524 Pages | ISBN : 3030678342 | 103.3 MB
The two-volume set LNCS 12572 and 1273 constitutes the thoroughly refereed proceedings of the 27th International Conference on MultiMedia Modeling, MMM 2021, held in Prague, Czech Republic, in June2021.

(more…)

MultiMedia Modeling (Part I)


Free Download MultiMedia Modeling: 29th International Conference, MMM 2023, Bergen, Norway, January 9-12, 2023, Proceedings, Part I by Duc-Tien Dang-Nguyen, Cathal Gurrin, Martha Larson, Alan F. Smeaton, Stevan Rudinac, Minh-Son Dao, Christoph Trattner, Phoebe Chen
English | PDF | 2023 | 719 Pages | ISBN : 3031270762 | 98 MB
The two-volume set LNCS 13833 and LNCS 13834 constitutes the proceedings of the 29th International Conference on MultiMedia Modeling, MMM 2023, which took place in Bergen, Norway, during January 9-12, 2023.

(more…)