2013 Proceeding- Program Chairs:
- Alexia Briasouli,
- Jenny Benois-Pineau,
- Alexander Hauptmann
- Sponsor:
- sigmm
It is our great pleasure to welcome you to the 2013 ACM MM Workshop on Multimedia Indexing and Information Retrieval for Healthcare -- MIIRH'13. This is the first workshop on Multimedia Information Indexing and Retrieval for Healthcare and is intended to establish a platform for the continued discussion of key research issues in multimedia for healthcare, remote monitoring and treatment. Multimodal monitoring for health can take place at home, but should be discreet, unobtrusive and personalized. Theoretical, i.e. research-oriented and practical, application-specific issues related to the extraction of lifestyle, behavior and health information from multimodal data will be examined. The setup of smart homes has become of great interest lately, as the latter need to ensure accurate, reliable, discreet and cost-efficient measurements, involving, among others, privacy protection and appropriate sensor placement. Marketing of multimodal remote monitoring options also needs to be examined carefully, as independent living at home, smart homes and remote care are forecast to gain importance in years to come. Multimedia Indexing and Retrieval research is now being oriented towards this application domain of primarily importance for the society. Workshop papers and presentations will focus on the analysis of multimodal data to obtain information pertinent to healthcare problems and also examine remote monitoring solutions. Personalization, unobtrusiveness, accuracy of analysis results, data storage, retrieval, transmission, marketability and privacy concerns are among the many topics that will be discussed.
The workshop will provide a forum for researchers from all over the world to share information on their latest investigations on multimedia information retrieval and indexing with healthcare applications. MIIRH is held as a one day workshop with presentations from 9:00 am to 5:00 pm with breaks and a 1-hour lunch period.
The call for papers attracted many submissions from Asia, Europe, Australia and the Americas. The program committee accepted 10 papers that cover a variety of topics, including: recognition of daily living activities, analysis of therapy exercises, fall detection, context aware recommendation, experience sharing, and medical image retrieval. In addition to paper presentations, posters and demos, MIIRH will feature an invited keynote talk by Prof. Linda Shapiro on "Image Analysis for Biomedical and Healthcare Applications" as well as an invited talk by Prof. Jean-Francois Dartigues on "Dementia and Dependency: a Major Challenge for the 21st century". We hope that these proceedings will serve as a valuable reference for healthcarerelated multimedia indexing and retrieval researchers and developers.
Proceeding Downloads
Image analysis for biomedical and healthcare applications
Multimodality data is now commonly produced in healthcare environments and requires sophisticated algorithms to analyze. Image data is varied and includes such modalities as CT, MRI, functional MRI, and DTI, as well as 3D meshes extracted from multi-...
Activity detection and recognition of daily living events
Activity recognition is one of the most active topics within computer vision. Despite its popularity, its application in real life scenarios is limited because many methods are not entirely automated and consume high computational resources for ...
Modeling instrumental activities of daily living in egocentric vision as sequences of active objects and context for alzheimer disease research
In this paper we study the problem of recognizing Instrumental Activities of Daily Living (IADL) in egocentric camera view. The target application of this research is the indexing of videos of patients with Alzehimer disease, thus providing medical ...
Combining multiple sensors for event recognition of older people
We herein present a hierarchical model-based framework for event recognition using multiple sensors. Event models combine a priori knowledge of the scene (3D geometric and semantic information, such as contextual zones and equipment) with moving objects ...
Graph-based analysis of physical exercise actions
In this paper, we develop a graph-based method to align two dynamic skeleton sequences, and apply it to both action recognition tasks as well as to the objective quantification of the goodness of the action performance. The automated measurement of "...
Fall detection in multi-camera surveillance videos: experimentations and observations
This paper presents our study on fall detection for ageing care monitoring. We collected a choreographed multi-camera dataset that contains fall actions and other actions such as walking, standing up, sitting down and so forth. In our work, MoSIFT ...
Dementia and dependency: a major challenge for the 21st century
This paper presents key ideas of the invited talk at MIIRH'2013 workshop. We present the key figures on the development of Dementia and give the overview of the actual state-of-the-art in Dementia treatment. The importance of early diagnosis and ...
Leveraging biosignal and collaborative filtering for context-aware recommendation
Recommender systems are powerful tools that support the user in their quest to find the multimedia they are looking for. Such systems present multimedia contents or provide recommendations by taking into consideration two dimensions of inputs: content (...
Automatically recommending multimedia content for use in group reminiscence therap
This paper presents and evaluates a novel approach for automatically recommending multimedia content for use in group reminiscence therapy for people with Alzheimer's and other dementias. In recent years recommender systems have seen popularity in ...
A cognitive assistive system for monitoring the use of home medical devices
Despite the popularity of home medical devices, serious safety concerns have been raised, because the use-errors of home medical devices have linked to a large number of fatal hazards. To resolve the problem, we introduce a cognitive assistive system to ...
Clinical experience sharing by similar case retrieval
- Neda Barzegar Marvasti,
- Ceyhun Burak Akgül,
- Burak Acar,
- Nadin Kökciyan,
- Suzan Üsküdarlı,
- Pınar Yolum,
- Rüstü Türkay,
- Barıs Bakır
Clinical experience sharing (CES) is a useful concept for both medical treatment and medical education purposes. One way of implementing CES is through the use of content based case retrieval (CBCR), where database of medical cases is browsed for case ...
Medical image retrieval using bag of meaningful visual words: unsupervised visual vocabulary pruning with PLSA
Content--based medical image retrieval has been proposed as a technique that allows not only for easy access to images from the relevant literature and electronic health records but also for training physicians, for research and clinical decision ...
Index Terms
- Proceedings of the 1st ACM international workshop on Multimedia indexing and information retrieval for healthcare
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Acceptance Rates
| Year | Submitted | Accepted | Rate |
|---|---|---|---|
| MIIRH '13 | 14 | 10 | 71% |
| Overall | 14 | 10 | 71% |