Call for “Content-Based Image and Multimedia Analysis and Indexing for Healthcare” special session papers
Multimedia information indexing and retrieval nowadays is more and more penetrating an important domain for society: healthcare. Feature-based classification approaches which are being developed for medical image classification for computer-aided diagnosis borrow the approaches from classical CBIR in feature engineering and cascaded classification. Deep learning classifiers which are being extensively studied and applied for concept recognition in multimedia data, image and video understanding are being applied for prediction of patients categories on the basis of physiological parameters such as gaze fixations. Information fusion approaches which are necessary for understanding and content – based indexing of highly dimensional multimedia data are applied for fusion of different modalities in medical image recognition. Video analysis and summarization approaches are being developed for automatic visual reporting in surgery. Similarly, video content analysis and retrieval in archived video data collected from surgeries becomes more and more important and provides the basis for later usage of these valuable data for scenarios such as case comparisons/similarity search, teaching of new operation techniques, as well as quality control/error inspection. Finally, the multimedia nowadays is more and more multimodal – not only image, video, textual and sound modalities supply the information, but also and specifically in medical and healthcare applications, a large variety of different sensors either measuring the context or physiological parameters are deployed. Future multimedia becomes multimodal and this happens in the healthcare domain in priority.
Topics include (but are not limited to):
- Multimodal information retrieval and indexing for computer-aided diagnosis;
- Database management for health monitoring and remote care;
- Analysis, classification, summarizing of medical video;
- Fusion of multi-modal and multi-media data for healthcare applications;
- Feature engineering, classification and deep learning for classification of medical images;
- 3D reconstruction from physiological video;
- Temporal evolution analysis of visual and multi-modal health information.
Paper submission
Authors are invited to submit full length 6 pages (to be presented as oral presentation). The submissions are peer reviewed in a single blind process. The language of the workshop is English.
For guidelines and submission procedure see Paper submission.
The CBMI proceedings are traditionally indexed and distributed by IEEE Xplore and ACM DL. In addition, authors of the best papers of the conference will be invited to submit extended versions of their contributions to a special issue of Multimedia Tools and Applications journal (MTAP).
Important dates
- Paper submission deadline:
February 15March 7, 2016; - Notification of acceptance:
March 31April 5, 2016; - Camera-ready papers due:
April 14April 18, 2016.
Organizers:
- Jenny Benois-Pineau, LABRI, University of Bordeaux, France (benois-p at labri dot fr);
- Klaus Schoeffmann, ITEC, Klagenfurt University, Austria (ks at itec dot uni-klu dot ac dot at).
