Research in multimedia computing is generally concerned with presentation, integration and computation of one or more media, such as text, image, graphics, audio, video, social data, and data collected from various sensors, etc., using computing techniques. The International Symposium on Multimedia (ISM) is an international forum for researchers to exchange information regarding advances in the state of the art and practice of multimedia computing, as well as to identify the emerging research topics and define the future of multimedia computing.

Submissions are solicited for full papers, short papers, position papers, and workshop papers. Topics for submission include but are not limited to:

Systems and Architectures

    Mobile multimedia systems and services
    Pervasive and interactive media systems including mobile systems, pervasive gaming, and digital TV
    Multimedia data in the Cloud
    GPU-based multimedia architectures and systems
    Software development framework using multimedia techniques

Communications and Streaming

    Multimedia networking and QoS
    Mobile audio/video streaming
    Wireless broadcasting and streaming
    Scalable streaming
    Peer-to-peer media systems and streaming
    Sensor networks
    Internet telephony technologies and systems
    Video teleconferencing

Multimedia Interfaces

    Information visualization and interactive systems
    Multimodal user interfaces: design, engineering, modality-abstractions, etc.
    Tools for media authoring, analyzing, editing, browsing, and navigation
    Intelligent agents for content creation, distribution, and analysis
    Novel interfaces for multimedia: touch, tangible, wearable, virtual, 3D, etc.
    User interfaces for mobile devices

Media Coding, Processing, and Quality Measurement

    Signal processing including audio, video, image processing, and coding
    Coding standards
    Scalable and Multi-view coding
    Multi-resolution or super-resolution algorithms
    Maintenance of perceptual quality with further compression
    Developing novel quality measures

Multimedia Security and Forensics

    Data security including digital watermarks and encryption
    Copyright issues for multimedia data
    Surveillance and monitoring methods
    Face detection and recognition algorithms
    Human behavior analysis from motion images/videos
    Multimedia-based computer forensics (e.g., crime scene investigation, user profiling)
    Multimedia Captchas, including attacks and counter-attacks
    On forensic use of biometrics
    Data hiding, stenography, and steganalysis
    Trust and privacy issues in media systems

Content Understanding, Modeling, Management, and Retrieval

    Media meta-modeling techniques
    Storage systems, databases, and retrieval
    Data segmentation
    Image, audio, video, genre clustering & classification
    Video summarization and story generation
    Speaker identification, recognition, and location
    Object, event, emotion, text detection and recognition
    Mosaic, video panorama and background generation
    Media semantics, ontologies, annotation, concept detection and learning
    Personalization and user preferences
    3D and depth information
    Viewer perception, emotion analysis and visual attention
    Multimedia datasets and open source code for research
    Multimedia recommender systems
    Fake multimedia detection

Mobile Media

    Mobile and location-based media techniques
    Mobile visual search
    Social networks for mobile users
    Augmented reality for mobile users
    Content delivery in mobile networks (e.g., 3G, 4G and future 5G)
    Mobile applications

Applications

    Big data
    3D data: graphics, displays, sound, broadcasting, interfaces
    Media composition and production: capture, authoring, digital art, animations, etc.
    Gaming
    Virtual and augmented reality
    Robotics
    Media interfaces for the Web
    Media in social network analysis
    Rich media enabled E-commerce and E-shopping
    Media systems for handicapped
    Collaborative systems
    Interdisciplinary media applications: Bioinformatics, Transportation systems, Wild-life monitoring and analysis, etc.
    Deep learning of multimedia data