Special Issues
IEEE Journal of Selected Topics in Signal Processing
- Signal Processing for Astronomical and Space Research Applications
- fMRI Analysis for Human Brain Mapping
- Digital Image Processing Techniques for Oncology
- Visual Media Quality Assessment
- DSP Techniques for RF/Analog Circuit Impairments
- Advanced Signal Processing for GNSS and Robust Navigation
Submission Deadlines: Manuscript submissions due: February 1, 2008 First review completed: May 1, 2008 Revised manuscripts due: June 15, 2008 Second review completed: August 1, 2008 Final manuscript due: September 1, 2008
Space research presents some of the most demanding applications for advanced signal and image processing. Examples include the use of array processing techniques for signal detection, instrument self-calibration, interference mitigation, and interferometric image synthesis in radio astronomy; detection of anisotropy of the cosmic microwave background (CMB); image enhancement, restoration, and adaptive optics techniques for optical astronomy; deconvolution and self-calibration of images; and the detection of various very weak signals. . . (Download the full article)
Submission Deadlines: Manuscript submissions due: March 15, 2008 First review completed: May 15, 2008 Revised manuscripts due: June 30, 2008 Second review completed: August 15, 2008 Final manuscript due: October 1, 2008
Functional Magnetic Resonance Imaging (fMRI) is a new technology allowing non-invasive assessment of brain activity. It has therefore been of increasing interest to neuroscience researchers for the investigation of the brain in normal and disease states. The development of MRI technology has been made possible due to the advances in physics and associated technology. Between these two groups – the developers of the technology and the ultimate end users – there exists a growing need for development of signal processing strategies for the analysis and modeling of fMRI data for human brain mapping. . . (Download the full article)
Submission Deadlines: Manuscript submissions due: April 15, 2008 First review completed: June 15, 2008 Revised manuscripts due: August 15, 2008 Second review completed: October 1, 2008 Final manuscript due: November 15, 2008
Cancer has been one of the biggest threats to human life for many years, and is expected to become the leading cause of death over the next few decades. Based on the statistics of the World Health Organization (WHO), cancer accounted for 13% of all deaths in the world in 2005; deaths from cancer are expected to rise in the future, with an estimated 11.4 million dying due to cancer in 2030. Therefore, detection and diagnosis of cancer have become a significant area of research activity in the medical imaging and image processing communities. Modern imaging technology has already had life-saving effects on the ability to detect cancer early and to diagnose the disease more accurately. In order to improve further the efficiency and veracity of diagnosis and treatment, image processing techniques are being developed and applied for the detection, recognition, and analysis of cancer; for the evaluation of the effectiveness of treatment; and for the prediction of the risk of development of cancer. The aim of the proposed special issue is to bring together researchers who work on image processing techniques for the detection and diagnosis of cancer, and to promote further research and advances in image processing techniques for oncology. . . (Download the full article)
Submission Deadlines: Manuscript submissions due: April 30, 2008 First review completed: July 31, 2008 Revised manuscripts due: September 15, 2008 Second review completed: October 31, 2008 Final manuscript due: November 30, 2008
With the increasing demand for digital image and video technologies in applications as broad as entertainment and communications, security, monitoring, and medical imaging, there is a growing need for the automatic assessment of the quality of visual media. Many factors can affect and impair the quality of visual media including compression, transmission, protection, display, printing, acquisition and reproduction systems. Automatic visual media quality assessment is crucial for monitoring and controlling the visual quality in existing and emerging multimedia systems, and has the potential to impact next-generation systems by providing objective metrics for use during the design and testing stages and by reducing the need for extensive evaluation with human subjects. . . (Download the full article)
Submission Deadlines: Manuscript submissions due: June 1, 2008 First review completed: September 15, 2008 Revised manuscripts due: November 1, 2009 Second review completed: January 1, 2009 Final manuscript due: February 1, 2009
Recent advances in digital processing capabilities and VLSI technology scaling, fueled by Moore’s law, have widened the gap between digital and analog circuits in terms of their performance/complexity/cost tradeoffs. This trend is projected to become even more significant in the future. Radio Frequency (RF) impairments in analog circuits are mainly due to fabrication process variations which are difficult to predict or control, that increase with fabrication technology down scaling, and that can severely limit the achievable performance. In addition, System-on-Chip (SoC) orientation brings increased levels of integration putting RF and digital signal processing not only in the same package, but integrating them on the same die. These considerations have spurred recent research activities in the signal processing and circuits technical communities on effective digital baseband compensation techniques for "dirty" RF/analog circuits. The objective of this inter-disciplinary special issue is to highlight the important role of digital signal processing techniques in understanding and mitigating RF/analog circuit impairments. . . (Download the full article)
Submission Deadlines: Manuscript submissions due: July 1, 2008 First review completed: September 15, 2008 Revised manuscripts due: October 30, 2008 Second review completed: November 30, 2008 Final manuscript due: December 30, 2008
With the increasing demand for positioning technology in applications as broad as navigation, communications, defense and security, science, and other areas, there is a growing need for precise positioning by Global Navigation Satellite Systems (GNSS). To achieve improved positioning performance over the current GPS, the new GNSS use novel signal modulations with different structures. As a result, these changes entail new challenges for signal processing including problems related to synchronization, detection and interference mitigation. In severe environments, there is a need for processing of information from supplemental sensors that involve techniques such as Kalman and nonlinear filtering. Other signal processing issues include multipath modeling/mitigation, integrity modeling, sensors and algorithms for enabling navigation in indoor environments, emphasizing the size/power constraints of personal navigation, and performance analysis. All these problems have put signal processing at the heart of the field of GNSS and navigation, which is why they require more attention by the signal processing community. The goal of this inter-disciplinary special issue is to bring together a diverse and complementary set of contributions in the area of signal processing for positioning and navigation, introduce the navigation problems to the larger signal processing community, promote further advances in the area, and help to establish a larger research community around this field. . . (Download the full article)
IEEE Signal Processing Magazine
- Digital Forensics
Submission Deadlines: White Paper due: April 7, 2008 Notification of White Paper review results: April 30, 2008 Full paper submission: July 15, 2008 Notification of acceptance: October 15, 2008 Final manuscript due: November 15, 2008 Publication date: March 2009
We find ourselves today in a “digital world� where most information is created, captured, transmitted, stored, and processed in digital form. Although, representing information in digital form has many compelling technical and economic advantages, it has led to new issues and significant challenges when performing forensics analysis of digital evidence. There has been a slowly growing body of scientific techniques for recovering evidence from digital data. These techniques have come to be loosely coupled under the umbrella of “Digital Forensics.� Digital Forensics can be defined as “The collection of scientific techniques for the preservation, collection, validation, identification, analysis, interpretation, documentation and presentation of digital evidence derived from digital sources for the purpose of facilitating or furthering the reconstruction of events, usually of a criminal nature�. . . (Download the full article)
IEEE Transactions on Audio, Speech, and Language Processing
- Multimodal Processing in Speech-based Interactions
Submission Deadlines: Manuscript submissions due: January 15, 2008 Notification of acceptance: May 15, 2008 Final manuscript due: July 1, 2008
Recently there has been increasing research interest to jointly process audio and visual information related to human activities, and to extend the technological developments in individual modalities for human-computer interaction to include multimodal processing in order to improve robustness and naturalness. For example, we have witnessed significant research activity devoted to extending traditional, unimodal speech recognition to audio-visual speech recognition by incorporating the speaker’s lip motion; text-to-speech synthesis has been migrating towards audio-visual speech synthesis involving head, facial, and lip motions; speech databases for technology evaluation have evolved from single-modality broadcast news type audio towards multimodal recordings of complex human interactions in contexts such as meeting rooms and in support of a multitude of far-field multimodal technologies; and speaker authentication has been migrating towards multimodality by incorporating biometric traits such as facial images, videos, and fingerprints. Furthermore, we have witnessed emergence of major research programs in the area such as the European Union funded efforts on multimodal interfaces and interaction, as well as multimodal technology evaluation campaigns by NIST and the VACE community (Rich Transcription, CLEAR, etc). . . (Download the full article)
IEEE Transactions on Multimedia
- Integration of Context and Content for Multimedia Management
- Communities and Media Computing
Submission Deadlines: Manuscript submissions due: April 1, 2008 Notification of Acceptance/Rejection: July 1, 2008 Final manuscript due date: September 1, 2008
Lower cost hardware and growing communications infrastructure (e.g., Web, cell phones, etc.) have led to an explosion in the availability of ubiquitous devices to produce, store, view and exchange multimedia (images, videos, music, text). Almost everyone is a producer and a consumer of multimedia in a world in which, for the first time, tremendous amount of contextual information is being automatically recorded by the various devices we use (e.g., cell ID for the mobile phone location, GPS integrated in a digital camera, camera parameters, time information, and identity of the producer). In recent years, researchers have started making progress in effectively integrating context and content for multimedia mining and management. Integration of content and context is crucial to human-human communication and human understanding of multimedia: without context it is difficult for a human to recognize various objects, and we become easily confused if the audio-visual signals we perceive are mismatched. For the same reasons, integration of content and context is likely to enable (semi)automatic content analysis and indexing methods to become more powerful in managing multimedia data. It can help narrow part of the semantic and sensory gap that is difficult or even impossible to bridge using approaches that do not explicitly consider context for (semi)automatic content-based analysis and indexing. . . (Download the full article)
Submission Deadlines: Manuscript submissions due: May 15th, 2008 Final acceptance notification: October 1, 2008 Final manuscript due: December 1, 2008
With the emergence of large scale social network communities such as flickr, myspace and youtube, we are witnessing media use and production on an unprecedented scale. The purpose of this special issue is to address the technical challenges that emerge through the use of media in large user communities. Communities who use media as part of a network can impact content analysis (e.g. detection of emergent semantics), multimedia systems (e.g. network optimization due to knowledge of relationships among people) and application research (e.g. novel group authoring). Ubiquitous use of multimedia can also impact the way communities form. We believe that a systematic analysis of community-generated media will reveal new insights about how people interact – social dynamics, the evolution of topics and trends, groups and communities. We believe that the research can reveal new synergies between multimedia content, systems and application research areas and computational social analysis. The focus of this special issue shall be novel computational aspects of shared media among multiple people. . . (Download the full article)