SIGMAP 2019 : International Conference on Signal Processing and Multimedia Applications

  in Conferences   Posted on December 30, 2018

Conference Information

Submission Deadline Thursday 28 Feb 2019
Conference & Submission Link
Conference Dates Jul 26, 2019 - Jul 28, 2019
Conference Address Prague, Czech Republic
Proceedings indexed by
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Call for Papers

International Conference on Signal Processing and Multimedia Applications SIGMAP


July 26 – 28, 2019 Prague, Czech Republic

Proceedings will be submitted for indexation by: DBLP, Thomson Reuters, EI, SCOPUS, Semantic Scholar and Google Scholar.


Regular Paper Submission: February 28, 2019

Authors Notification (regular papers): May 2, 2019

Final Regular Paper Submission and Registration: May 16, 2019


The purpose of SIGMAP 2019, 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. Traditionally, the multimedia research community has been able to handle big data, promote and create large scale datasets, as well as to address new challenges by proposing novel methods and applications. In the last few years, the amount of exchanged multimedia information have experienced an exponential growth (e.g., Social Network Platforms), as well as the availability of signal data coming from smart personal devices (e.g., smart watches, wearable sensors, smart bracelet, etc.) and other kinds of sensors. This allowed the development of new applications, aimed to take advantage from this huge amount of data. In this context, theoretical and practical methods, based on modern learning techniques (e.g., Deep Learning), able to improve each step of the processing, analysis, communication and presentation in such applications\’ pipelines are needed. The signal processing field, when combined with multimedia information encompasses a large number of research topics and emerging applications.

Conference Topics:

Area 1: Multimedia and Communications

– Digital Audio and Video Broadcasting

– Interactive Multimedia: Games and Digital Television

– Mobile and Wearable Multimedia

– Multimedia Devices

– Multimedia Internet of Things

– Multimedia Security and Cryptography

– Performance Measurement and Evaluation, QoS

Area 2: Multimedia Signal Processing

– Biometrics and Pattern Recognition

– Text and Image Document analysis

– Dimensionality Reduction, multiple classifiers and data fusion

– Education in Signal Processing

– Multidimensional Signal Processing

– Multimodal Signal Processing

– Music, Speech and Audio Processing

– Neural Networks, Spiking Systems, Genetic Algorithms and Fuzzy Logic

– Perceptual/Human Audiovisual System Modeling

– Sensors and Multimedia

Area 3: Multimedia Systems and Applications

– 3D Virtual/Augmented/Mixed Environments and Surveillance Applications

– Multimedia Security, Privacy and Forensics

– Secure Multimedia Transmission

– Biomedical Applications

– Design and Implementation of Signal Processing Systems

– Multimedia Databases

– Multimedia Human-Computer Interaction

– Semantic Analysis of Multimedia Data

– Multimedia and Big Data

– Multimedia in Cloud Computing and Applications

– Multimedia Entertainment

Area 4: Multimedia and Vision

– Image and Video Processing, Compression and Segmentation

– Video content analytics

– Multimodal Image Analysis and Understanding

– Image/Video Summarization and Visualization

– Multimedia Processing for Augmented and/or Virtual Reality (3D telepresence)

– Multi-camera Coding and Streaming

Area 5: Multimedia and Deep Learning

– Deep Representation Learning from Multimedia Inputs

– Deep Learning for Multimodal Data Analytics

– Cross Modal Transfer Learning for Multimedia Analysis

– Adversarial Deep Learning Methods for Generative Multimedia Applications

– Deep Learning for Audio-Visual Sounds Source separation and Localization

– Deep Multimodal Embeddings

Area 6: Multimedia Indexing and Retrieval

– Multimedia Recommendation

– Visual Search

– Summarization and Semantic Abstraction of Multimedia Content

– Multimodal Cross-modal Indexing and Retrieval

– Social Media Indexing and Retrieval

– Semantic Aware Multimedia indexing (e.g., affect, sentiment, interest)

– Evaluation of Multimedia Retrieval Systems

– Applications of Multimedia Indexing and Retrieval (e.g., lifelogs, culture, video surveillance)

– Hashing and Indexing for Large Scale Multimedia Retrieval

– Cross-media Retrieval

Area 7: Social Multimedia

– Crowdsourced Multimedia Analysis and Applications

– Emotional and Social Signals in Multimedia

– Mobile and Social Media Analysis

– Socual Multimedia for User Profiling and Customization

– Social Network Analysis

– Collecting Large Scale Social Signal Data

– Emotional Multimedia content Tagging


Mohammad Obaidat, University of Jordan, Jordan and Nazarbayev University, Kazakhstan


Sebastiano Battiato, University of Catania, Italy

Ángel Serrano Sánchez de León, Universidad Rey Juan Carlos, Spain


SIGMAP Secretariat

Address: Av. D. Manuel I, 27A, 2º esq.

Tel: +351 265 520 185

Fax: +351 265 520 186



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