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It is our great pleasure to welcome you to the second Lifelog Search Challenge - LSC'19, at ACM ICMR'19 in Ottawa, Canada. Motivated by the success of the first LSC in 2018 and driven by the realization that lifelog organisation and retrieval continue to pose significant challenges for the research community, the organisers have run a second in the series of LSC workshops. The mission of the LSC workshop is to support the development and comparative evaluation of interactive lifelog retrieval systems by releasing test collections and defining research challenges to be solved by the community in an open and collaborative manner. LSC'19 is a participation workshop, which means that the participants write and present an academic paper describing their retrieval system, as well as taking part in the live interactive search competition. At LSC'19 there will be nine short oral presentations, followed by the search challenge integrating both expert users in a private session and novice users in a public session, which never fails to excite.The call for papers attracted submissions from Asia and Europe and ultimately nine papers were selected for inclusion in the program, from Austria, China, the Czech Republic, Denmark, Ireland, Switzerland, Taiwan and Vietnam. Each of these papers is accompanied by a working interactive search engine. The organisers are delighted that four of the six participating teams from the first LSC have refined their search engines for LSC'19. This means that five of the teams at LSC'19 are competing for the first time.Putting together all the required elements for the LSC'19 was a team effort. We first thank the authors/developers for providing the content of the program and systems for the challenge. We are grateful to the organisers and program committee for reviewing papers and providing feedback for authors. We thank the team at Dublin City University and Klagenfurt University for preparing the dataset, the novel time-specific information needs and the real-time evaluation engine. Finally, we thank the chairs of ACM ICMR'19, the workshop chairs who provided wonderful support and the ACM SIGs.

Interactive multimedia

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It is our great pleasure to welcome you to the 1st International Workshop on Multimedia Content Generation and Evaluation: New Methods and Practice - McGE 2023. We believe that this workshop will provide a valuable platform for researchers and practitioners to discuss and exchange ideas on the latest advancements, challenges, and opportunities in the rapidly evolving field of multimedia content generation.

Computer science. --- Artificial intelligence. --- Computer vision.

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It is our great pleasure to welcome you to the 2023 ACM Multimedia Workshop - MMIR 2023. The emergence of multimodal learning offers a feasible way for multimodal IR. Within recent decades with the rapid development of deep learning techniques, the triumph of multimodal learning has been witnessed. Deep multimodal learning has been defined as to use of deep neural techniques to model and learn from multiple sources of data or modalities among others. In the context of IR, deep multimodal learning has shown great potential to improve the performance and application scope of retrieval systems, i.e., by enabling better understanding and processing of the diverse types of data. MMIR'23 workshop can be a good complementarity to place the major focus on multimodal IR. This workshop sets the goal to extend existing work in this direction, by bringing together and facilitating the community of researchers and practitioners. And meanwhile, we aim to encourage an exchange of perspectives and solutions between industry and academia to bridge the gap between academic design guidelines and the best practices in the industry regarding multimodal IR.

Computer science. --- Neural networks.

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We are pleased to welcome you to the 4th Multimodal Sentiment Analysis Challenge and Workshop (MuSe 2023). MuSe 2023 is held as a full-day workshop in conjunction with ACM Multimedia 2023 in Ottawa, Canada. Offered for the 4th time, MuSe continues its tradition of providing a range of novel multimodal sentiment analysis benchmark tasks in a uniform challenge setting. This year, we invited participation in three distinct sub-challenges: 1 predicting Approval, Disappointment and Uncertainty in user-generated videos 2 detecting spontaneous humorous communication in a cross-cultural setting and 3 personalised regression of arousal and valence signals.

Computer science. --- Artificial intelligence.

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It is our great pleasure to welcome you to the 6th ACM International Workshop on Multimedia Content Analysis in Sports (ACM MMSports'23). The workshop is co-located with ACM Multimedia 2023. After two years of pure virtual MMSports workshops and one hybrid year, we are more than happy that MMSports'23 is held on-site only again and we can all meet and interact in person. The workshop addresses a very timely topic because the influence of rapidly developing technologies has changed the way of how we participate, watch, understand and research sports. For example, television broadcasts augment live video footage with computer vision-based graphics in real time to emphasize different aspects of a game or performance and assist focus and understanding of viewers. Moreover, the astonishing impact of wearables within the last years plays a pivotal role in how we pursue and evaluate our personal training goals. In a professional setting, coaches and training scientists directly benefit from the latest technological research, reshaping the way we think about improving the performance and technique of athletes, understand sport injuries or enhance the qualitative and quantitative analyses of performances.

Computer science. --- Image segmentation.