16th International Conference on Signal Processing and Multimedia Applications - SIGMAP 2019

he 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.<br> 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... Read more

he 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.<br> 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.<br> Conference Topics:<br> Area 1: Multimedia and Communications<br> - Digital Audio and Video Broadcasting<br> - Interactive Multimedia: Games and Digital Television <br> - Mobile and Wearable Multimedia<br> - Multimedia Devices <br> - Multimedia Internet of Things<br> - Multimedia Security and Cryptography <br> - Performance Measurement and Evaluation, QoS<br> Area 2: Multimedia Signal Processing<br> - Biometrics and Pattern Recognition<br> - Text and Image Document Analysis<br> - Dimensionality Reduction, Multiple Classifiers and Data Fusion<br> - Education in Signal Processing<br> - Multidimensional Signal Processing<br> - Multimodal Signal Processing<br> - Music, Speech and Audio Processing<br> - Neural Networks, Spiking Systems, Genetic Algorithms and Fuzzy Logic <br> - Perceptual/Human Audiovisual System Modeling <br> - Sensors and Multimedia <br> Area 3: Multimedia Systems and Applications<br> - 3D Virtual/Augmented/Mixed Environments and Surveillance Applications<br> - Multimedia Security, Privacy and Forensics<br> - Secure Multimedia Transmission<br> - Biomedical Applications <br> - Design and Implementation of Signal Processing Systems<br> - Multimedia Databases<br> - Multimedia Human-Computer Interaction<br> - Semantic Analysis of Multimedia Data<br> - Multimedia and Big Data<br> - Multimedia in Cloud Computing and Applications<br> - Multimedia Entertainment<br> Area 4: Multimedia and Vision<br> - Image and Video Processing, Compression and Segmentation <br> - Video Content Analytics<br> - Multimodal Image Analysis and Understanding<br> - Image/Video Summarization and Visualization<br> - Multimedia Processing for Augmented And/Or Virtual Reality (3D Telepresence)<br> - Multi-Camera Coding and Streaming<br> Area 5: Multimedia and Deep Learning<br> - Deep Representation Learning from Multimedia Inputs<br> - Deep Learning for Multimodal Data Analytics<br> - Cross Modal Transfer Learning for Multimedia Analysis<br> - Adversarial Deep Learning Methods for Generative Multimedia Applications<br> - Deep Learning for Audio-Visual Sounds Source Separation and Localization<br> - Deep Multimodal Embeddings<br> Area 6: Multimedia Indexing and Retrieval<br> - Multimedia Recommendation<br> - Visual Search<br> - Summarization and Semantic Abstraction of Multimedia Content<br> - Multimodal Cross-Modal Indexing and Retrieval<br> - Social Media Indexing and Retrieval<br> - Semantic Aware Multimedia Indexing (E.G., Affect, Sentiment, Interest)<br> - Evaluation of Multimedia Retrieval Systems<br> - Applications of Multimedia Indexing and Retrieval (E.G., Lifelogs, Culture, Video Surveillance)<br> - Hashing and Indexing for Large Scale Multimedia Retrieval<br> - Cross-Media Retrieval<br> Area 7: Social Multimedia<br> - Crowdsourced Multimedia Analysis and Applications<br> - Emotional and Social Signals in Multimedia <br> - Mobile and Social Media Analysis<br> - Socual Multimedia for User Profiling and Customization<br> - Social Network Analysis<br> - Collecting Large Scale Social Signal Data<br> - Emotional Multimedia Content Tagging<br>