Best Student Video: Qualitative Case-Based Reasoning for Humanoid Robot Soccer - Thiago Pedro Donadon Homem, Danilo Hernani Perico, Paulo Eduardo Santos, Reinaldo Augusto da Costa Bianchi, and Ramon Lopes de Mantaras
Congratulations to the authors of the nominated videos (listed in alphabetical order). Winners will be announced at ICCBR 2017 in Trondheim.
Best Video Nominees
Flexible Feature Deletion - Brian Schack and Rachael Summers
MonitAR - Hayley Borck
Best Student Video Nominees
DePicT Dementia CLASS: Medical CBR Learning Assistant System - Sara Nasiri, Katharina Klingauf, Dan Li, Jan Ortmann, and Madjid Fathi
Qualitative Case-Based Reasoning for Humanoid Robot Soccer - Thiago Pedro Donadon Homem, Danilo Hernani Perico, Paulo Eduardo Santos, Reinaldo Augusto da Costa Bianchi, and Ramon Lopes de Mantaras
Trained Query Nodes: Training the Behavior Trees - Ismael Sagredo-Olivenza, Pedro P. Gomez Martin, Marco A. Gomez Martin, and and Pedro A. Gonzalez Calero
Congratulations to the authors of the accepted videos (listed in alphabetical order):
DePicT Dementia CLASS: Medical CBR Learning Assistant System - Sara Nasiri, Katharina Klingauf, Dan Li, Jan Ortmann, and Madjid Fathi
Flexible Feature Deletion - Brian Schack and Rachael Summers
MonitAR - Hayley Borck
Qualitative Case-Based Reasoning for Humanoid Robot Soccer - Thiago Pedro Donadon Homem, Danilo Hernani Perico, Paulo Eduardo Santos, Reinaldo Augusto da Costa Bianchi, and Ramon Lopes de Mantaras
Trained Query Nodes: Training the Behavior Trees - Ismael Sagredo-Olivenza, Pedro P. Gomez Martin, Marco A. Gomez Martin, and and Pedro A. Gonzalez Calero
We are pleased to announce the First ICCBR Video Competition to take place at the 25th International Conference on Case-Based Reasoning in Trondheim, Norway (June 26-28, 2017). The competition, inspired by the successful series of AAAI Video Competitions, has the goal of promoting exciting case-based reasoning research, education, and applications. We hope that the accepted videos will provide outreach to the general public, introduce students and experts from other fields to CBR, highlight new research, and serve as educational tools for professors to use in the classroom.
All submissions will be peer-reviewed and accepted videos will be included in the ICCBR Video Competition proceedings (i.e., the videos will be published online with summaries in the workshop proceedings). The Awards Committee will nominate a subset of accepted videos for awards, with the winners being announced during the awards ceremony held at ICCBR 2017. We plan to award a Best Video Award and Best Student Video Award, with the possibility of additional awards based on the number (and quality) of submissions. All accepted videos will be published online, promoted to the CBR community and external groups (e.g., websites, mailing lists, and social media), and screened during ICCBR 2017.
Topics for submitted videos include:
Educational videos:
Providing an introduction to central topics in case-based reasoning (e.g., similarity, retrieval, adaptation, reuse, important algorithms)
Tutorials and historical summaries (e.g., the CBR cycle, the evolution of CBR systems, successfully applied CBR systems)
Presenting the state-of-the-art in CBR sub-fields (e.g., CBR agents, time-series CBR, CBR in education)
Research videos:
Paper companions (i.e., videos related to one or more publications)
Research lab overviews (i.e., a video highlighting the CBR research done by your research group)
Demonstration videos:
Demonstrating an application of CBR (e.g., cooking, robotics, games, recommender systems, deployed software, healthcare)
Demonstrating a larger AI system with a focus on the CBR subsystems
Success stories (e.g., CBR in business, CBR in healthcare)
Entertaining videos:
Any of the above topics, but with the primary focus on entertaining the audience (e.g., describing your research as part of a story, teaching about an algorithm through song)
This list is by no means exhaustive. If you have an idea for a video not covered by the list, feel free to contact the co-chairs.
Submitted videos should be short (under 5 minutes in length) and self-contained. Keep in mind who you want your intended audience to be (e.g., a university student, a CBR PhD student, and established CBR researcher, researchers in other AI fields) and tailor the information to their background and expertise. Authors are encouraged to include one or more of the following in their video: video clips or animations related to the topic (e.g., a clip of the system being used, an animation of how the algorithm processes data), relevant images, background music, clear narration (possibly with added subtitles), humor, interviews, websites with further information, a list of relevant publications, and author contact information.
Submissions by students are strongly encouraged, regardless of how far along they are in their studies. For example, newer students could produce educational videos covering common CBR topics, intermediate students could produce videos covering existing CBR research and development (e.g., state-of-the-art of a CBR topic, overview of their CBR sub-field, a summary of their lab's work), and more advanced students could produce videos of their own research.
Important note: Videos can only include audiovisual content that the authors own or have permission to use. Any video clips (e.g., from movies, television, or the internet), music, songs, or images require written permission from the copyright holder if they are included in your video. No videos containing unlicensed material will be allowed in the video competition.
The video competition awards ceremony will be held at ICCBR 2017 in Trondheim, Norway. Although we encourage authors of accepted videos to attend the awards ceremony and the conference, entrants are not required to attend ICCBR 2017 or the awards ceremony.
We invite submissions that meet the following criteria:
Content: The video must be related to case-based reasoning.
Length: A maximum of 5 minutes in length. Shorter videos are also acceptable, so authors should not feel obligated to use the entire time.
Format: Videos should be encoded using common video formats such that a reviewer will be able to play the video easily using popular video players (i.e., should not require installing additional software or uncommon video codecs).
Quality: Video size is not a significant consideration so authors should encode the videos in high quality so that video and audio is not significant reduced.
Tools: There are no specific restrictions on the tools used to create videos, but authors should avoid tools that add watermarks or logos to the videos. In many cases, free video tools (e.g., Windows Movie Maker, iMovie) are sufficient to make videos for the competition.
Videos must be submitted as video files than can be download from the internet (e.g., Dropbox links, hosted on your institution's website). Each video should be accompanied by a submission form that is emailed to the ICCBR Video Competition co-chairs: submit to ICCBRVC@knexusresearch.com. If you have not received confirmation of your submission within 24 hours, please contact the cochairs using their personal email addresses (e.g., in case the submission was blocked by a spam filter). All submissions are due by the submission deadline posted below.
Agnar Aamodt, Norwegian University of Science and Technology, Norway
Isabelle Bichindaritz, State University of New York Oswego, USA
Derek Bridge, University College Cork, Ireland
Alexandra Coman, Naval Research Laboratory, USA
Stelios Kapetanakis, University of Brighton, UK
Cindy Marling, Ohio University, USA
Santiago Ontanon, Drexel University, USA
Enric Plaza, IIIA-CSIC, Catalonia (Spain)
Jonathan Rubin, Philips Research North America, USA
Ian Watson, University of Auckland, New Zealand
The CBR community has had numerous videos accepted at the AAAI Video Competition over the years, including multiple award winners. These provide some good examples of the types of high-quality submissions we are looking for:
AI 4 Diabetes Support, AI Video Competition 2012. Cindy Marling, Michael Cleaver, Frank Schwartz, Nattada Nimsuwan, Nigel Struble, Razvan Bunescu, and Melih Altun.
