Call for Papers for the 21st International Conference on Content-Based Multimedia Indexing — CBMI 2024
September 18 – 20, 2024 in Reykjavik, Iceland
After successful editions across Europe in France, Austria, Italy, UK, Czech Republic, and Hungary, the Content-Based Multimedia Indexing (CBMI) conference will take place in Reykjavík, Iceland this coming September 2024. CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualisation and analytics. We encourage contributions both on theoretical aspects and applications of CBMI in the new era of Artificial Intelligence. Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics. In addition, special sessions on specific technical aspects or application domains are planned.
Conference Website: http://cbmi2024.org/
Authors can submit full papers (6 pages + references), short papers (4 pages + references), special session papers (6 pages + references) and demonstration proposals (4 pages + 1 page demonstration description + references). Authors of certain best papers of the conference will be invited to submit extended versions of their contributions to a special journal issue in MTAP (approval pending). Submissions to CBMI are peer reviewed in a single blind process. All types of papers must use the IEEE templates at https://www.ieee.org/conferences/publishing/templates.html. The language of the conference is English.
CBMI 2024 proposes eight special sessions:
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AIMHDA: Advances in AI-Driven Medical and Health Data Analysis
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Content-Based Indexing for Audio and Music: From Analysis to Synthesis
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ExMA: Explainability in Multimedia Analysis
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IVR4B: Interactive Video Retrieval for Beginners
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MIDRA: Multimodal Insights for Disaster Risk Management and Applications
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MmIXR: Multimedia Indexing for XR
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Multimedia Analysis and Simulations for Digital Twins in the Construction Domain
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Multimodal Data Analysis for Understanding of Human Behaviour, Emotions and their Reasons
Submission Deadlines
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Full and short research papers are due March 22, 2024
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Special session papers are due March 22, 2024
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Demonstration submissions are due April 22, 2024
CBMI 2024 seeks contributions on the following research topics:
Multimedia Content Analysis and Indexing:
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Media content analysis and mining
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AI/ML approaches for content understanding
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Multimodal and cross-modal indexing
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Activity recognition and event-based multimedia indexing and retrieval
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Multimedia information retrieval (image, audio, video, text)
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Conversational search and question-answering systems
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Multimedia recommendation
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Multimodal analytics, summarization, visualisation, organisation and browsing of multimedia content
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Multimedia verification (e.g., multimodal fact-checking, deep fake analysis)
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Large multimedia models, large language models and vision language models
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Explainability in multimedia learning
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Large scale multimedia database management
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Evaluation and benchmarking of multimedia retrieval systems
Multimedia User Experiences:
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Extended reality (AR/VR/MR) interfaces
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Mobile interfaces
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Presentation and visualisation tools
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Affective adaptation and personalization
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Relevance feedback and interactive learning
Applications of Multimedia Indexing and Retrieval:
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Multimedia and sustainability
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Healthcare and medical applications
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Cultural heritage and entertainment applications
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Educational and social applications
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Egocentric, wearable and personal multimedia
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Applications to forensics, surveillance and security
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Environmental and urban multimedia applications
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Earth observation and astrophysics
On behalf of the CBMI 2024 organisers,
CVPR 2024 Workshop and Challenge on on DeepFake Analysis and Detection (DFAD) – Deadline extended!
March 12th, 2024 
Daniela Lopez de Luise IET Image Processing Special Issue “Image and Video Processing for Sustainable Agriculture”
March 12th, 2024 Daniela Lopez de Luise Topics for this call for papers include but not restricted to:
- Weed detection, classification and quantification
- Image-based plant phenotyping
- Plant and crop disease classification and grading
- Multispectral and hyperspectral imaging in sustainable agriculture
- Imaging from satellites and unmanned aerial vehicles
- Autonomous driving in agriculture
- Harvesting automation
- Robotics and robotic perception in agriculture
- Ethics and social impact of AI and image processing in agriculture
- Image-based crowd-sensing and participatory approaches in agriculture
- Explainable AI in precision agriculture
- Federated learning in precision agriculture
- Temporal analysis of agricultural fields using time-lapse imaging
- Multimodal data fusion: combining satellite, aerial, and ground-level imaging
- 3D imaging and modeling for farm terrain analysis and planning
Expected Publication Month: February 2025
Guest Editors:
Davide Moroni
National Research Council of Italy (CNR)
Italy
Dimitrios Kosmopoulos
University of Patras
Greece
Call for papers – held in conjunction with IEEE FG 2024
March 12th, 2024 Daniela Lopez de Luise Analysis (SD-FGA 2024)
Held in the scope of IEEE FG 2024
27 or 31 May 2024 (TBD), Istanbul, Turkey
https://sites.google.com/view/sd-fga2024/
Paper submission: 17 March 2024, 11:59pm PST
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*** Call for Papers ***
Recent advancements in generative models within the realms of computer
vision and artificial intelligence have revolutionized the way
researchers approach data-driven tasks. The advent of sophisticated
generative models, such as GANs (Generative Adversarial Networks), VAEs
(Variational Autoencoders), or more recently diffusion models, has
empowered practitioners to create synthetic data that closely mirrors
real-world scenarios. These models enable the generation of
high-fidelity images and sequences, laying the foundation for
groundbreaking applications in face and gesture analysis. The
significance of these generative models lies in their ability to produce
synthetic data that is remarkably realistic, thereby mitigating
challenges associated with data scarcity and privacy concerns. As a
result, the utilization of synthetic data has become increasingly
prevalent in various research domains, offering a versatile and ethical
alternative for training and testing machine learning algorithms.
This workshop aims to delve into the diverse applications of synthetic
data in the realm of face and gesture analysis. Participants will
explore how synthetic datasets have been instrumental in training facial
recognition systems, enhancing emotion detection models, and refining
gesture recognition algorithms. The workshop will showcase exemplary use
cases where the integration of synthetic data has not only overcome data
limitations but has also fostered the development of more robust and
accurate models. As researchers increasingly recognize the potential of
synthetic datasets in shaping the future of computer vision and machine
learning, there arises a demand for a collaborative platform where ideas
can be exchanged, methodologies shared, and challenges addressed. This
workshop aims to bridge the gap between theoretical knowledge and
practical implementation, fostering a community of experts and
enthusiasts dedicated to advancing the frontiers of synthetic data in
face and gesture analysis.
Topics of interest include, but are not limited to:
+ Novel generative models for face and gesture synthesis
+ Label generation for synthetic data
+ Information leakage in synthetics data
+ Data factories for training biometric (detection, landmarking,
recognition) models
+ Synthetic data for data augmentation
+ Data synthesis for bias mitigation and fairness
+ Quality assessment for synthetic data
+ Synthetic data for privacy protection
+ Novel applications of synthetic data
+ New synthetic datasets and performance benchmarks
+ Applications of synthetic data, e.g., deepfakes, virtual try-on, face
and gesture editing
*** Paper format and submission ***
9th International Conference on e-Democracy : Fundamental Rights and Freedoms in the AI Era (e-Democracy2024) – Athens, Greece. September 26-27, 2024
March 12th, 2024 Daniela Lopez de Luise CALL FOR PAPERS