Multimodal Analysis of User-Generated Multimedia Content

AvRajiv Shah,Roger Zimmermann

Häftad, Engelska, 2018

Del 6 i serien Socio-Affective Computing

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Beskrivning

This book presents a summary of the multimodal analysis of user-generated multimedia content (UGC). Several multimedia systems and their proposed frameworks are also discussed. Subsequently, we present a personalized music video generation system for outdoor user-generated videos.

Produktinformation

Utgivningsdatum:2018-09-09
Mått:155 x 235 x 15 mm
Vikt:493 g
Format:Häftad
Språk:Engelska
Serie:Socio-Affective Computing
Antal sidor:263
Förlag:Springer International Publishing AG
ISBN:9783319871684

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Referensverk och tvärvetenskap inom Samhälle och politik
Databaser inom Data och IT

Mer om författaren

Rajiv Ratn Shah received his B.Sc. with honors in Mathematics from Banaras Hindu University, India in 2005. He received his M.Tech. in Computer Technology and Applications from Delhi Technological University, India in 2010. Prior joining Indraprastha Institute of Information Technology Delhi (IIIT Delhi), India as an assistant professor, Dr Shah has received his Ph.D. in Computer Science from the National University of Singapore, Singapore. Currently, he is also working as a research fellow in living analytics research centre (LARC) at the Singapore Management University, Singapore. His research interests include the multimodal analysis of user-generated multimedia content in the support of social media applications, multimodal event detection and recommendation, and multimedia analysis, search, and retrieval. Dr Shah is the recipient of several awards, including the runner-up in the Grand Challenge competition of ACM International Conference on Multimedia. He is involved in reviewingof many top-tier international conferences and journals. He has published several research work in top-tier conferences and journals such as Springer MultiMedia Modeling, ACM International Conference on Multimedia, IEEE International Symposium on Multimedia, and Elsevier Knowledge-Based Systems.

Innehållsförteckning

Introduction.- Literature Review.- Event Understanding.- Tag Recommendation and Ranking.- Soundtrack Recommendation for UGVs.- Lecture Video Segmentation.- Adaptive News Video Uploading.- Conclusions and future work.