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SIGMAP 2021 will be held in conjunction with ICSOFT 2021, DATA 2021, ICINCO 2021, SIMULTECH 2021, ICE-B 2021, SECRYPT 2021 and WINSYS 2021.
Registration to SIGMAP allows free access to the ICSOFT, DATA, ICINCO, SIMULTECH, ICE-B, SECRYPT and WINSYS conferences (as a non-speaker).

 

Upcoming Submission Deadlines

Regular Paper Submission Extension: March 8, 2021
Position Paper Submission: April 1, 2021
Doctoral Consortium Paper Submission: May 12, 2021

(See Important Dates for more information)
The purpose of SIGMAP 2021, the International Conference on Signal Processing and Multimedia Applications, is to bring together researchers, engineers and practitioners interested on information systems and applications, including theory and practice in various heterogeneous and interrelated fields including image, video and audio data processing, new sources of multimodal data (text, social, health, etc.) and Multimedia Applications related to representation, storage, authentication and communication of multimedia information. Multimedia is a research field that includes computing methods in which different modalities are integrated and combined, with the aim to take advantage from each data source.





Conference Chair

Andrew SungUniversity of Southern Mississippi, United States

PROGRAM CHAIR

Simone SantiniUniversidad Autónoma de Madrid, Spain

Keynote Speakers

Amarnath GuptaUniversity of California San Diego, United States
Henning SchulzrinneColumbia University, United States

Workshops


 
 SCITEPRESS Digital Library

All papers presented at the conference venue
will be available at the SCITEPRESS Digital Library
(consult SCITEPRESS Ethics of Publication)

CCIS Series
It is planned to publish a short list of revised and
extended versions of presented papers with
Springer in a CCIS Series book
(final approval pending)
Springer Nature Computer Science Journal

A short list of best papers will be invited
for a post-conference special issue of the
Springer Nature Computer Science Journal

Proceedings will be submitted for indexation by:


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