E. Apostolidis, E. Adamantidou, A. Metsai, V. Mezaris, I. Patras, “Video Summarization Using Deep Neural Networks: A Survey”, arXiv:2101.06072, https://arxiv.org/abs/2101.06072.

S. Andreadis, A. Moumtzidou, K. Gkountakos, N. Pantelidis, K. Apostolidis, D. Galanopoulos, I. Gialampoukidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, “VERGE in VBS 2021”, Proc. 27th Int. Conf. on Multimedia Modeling (MMM2021), Prague, CZ, 2021. Available in Zenodo

Weichselbraun, A., Steixner, J., Braşoveanu, A.M.P., Scharl, A., Göbel, M. and Nixon, L.J.B. (2021). “Automatic Expansion of Domain-Specific Affective Models for Web Intelligence Applications”, Cognitive Computation, 13: doi.org/10.1007/s12559-021-09839-4.

Brasoveanu, A., Weichselbraun, A. and Nixon, L. (2020): “In Media Res: A Corpus for Evaluating Named Entity Linking with Creative Works”. In the Proceedings of the 24th Conference on Computational Natural Language Learning (CoNLL 2020), online, November 2020.

Nixon, L. (2020): “Predicting your future audience: experiments in picking the best topic for future content”. Work in Progress track at ACM IMX 2020 (online), June 2020.

Nixon, L., Scharl, A. and Bocyte, R. (2020): “Topics Compass: uncovering Trending Topics for Optimised Media Content Publication”. Demo at ACM IMX 2020 (online), June 2020.

S. Andreadis, A. Moumtzidou, K. Apostolidis, K. Gkountakos, D. Galanopoulos, E. Michail, I. Gialampoukidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, “VERGE IN VBS 2020“, Proc. 26th Int. Conf. on Multimedia Modeling (MMM2020), Daejeon, Korea, Springer LNCS vol. 11962, pp 778-783, Jan. 2020. Available in Zenodo

Bocyte R., Oomen J., Nixon L., Scharl A. (2020) Online News Monitoring for Enhanced Reuse of Audiovisual Archives. In: Hall M., Merčun T., Risse T., Duchateau F. (eds) Digital Libraries for Open Knowledge. TPDL 2020. Lecture Notes in Computer Science, vol 12246. Springer, Cham.

E. Apostolidis, E. Adamantidou, A. Metsai, V. Mezaris, I. Patras, “AC-SUM-GAN: Connecting Actor-Critic and Generative Adversarial Networks for Unsupervised Video Summarization“, IEEE Transactions on Circuits and Systems for Video Technology, 2020, accepted for publication. Software available at https://github.com/e-apostolidis/AC-SUM-GAN. Find this paper in Zenodo

E. Apostolidis, E. Adamantidou, A. Metsai, V. Mezaris, I. Patras, “Performance over Random: A robust evaluation protocol for video summarization methods“, Proc. ACM Multimedia 2020 (ACM MM), Seattle, WA, USA, Oct. 2020. Software available at https://github.com/e-apostolidis/PoR-Summarization-Measure

Nixon, L. (2020): “Predicting your future audience’s popular topics to optimize TV content marketing success”. In the AI4TV 2020 workshop at the ACM Multimedia 2020, online, October 2020.

E. Apostolidis, E. Adamantidou, A. Metsai, V. Mezaris, I. Patras, “Unsupervised Video Summarization via Attention-Driven Adversarial Learning“, Proc. 26th Int. Conf. on Multimedia Modeling (MMM2020), Daejeon, Korea, Springer LNCS vol. 11961, pp. 492-504, Jan. 2020. Software available at https://github.com/e-apostolidis/SUM-GAN-AAE Best Paper Award

Bocyte, R., Oomen, J., “Content Adaptation, Personalisation and Fine-grained Retrieval: Applying AI to Support Engagement with and Reuse of Archival Content at Scale“, Proc. 12th International Conference on Agents and Artificial Intelligence (ICAART 2020), vol. 1, pp. 506-511.

C. Collyda, K. Apostolidis, E. Apostolidis, E. Adamantidou, A. Metsai, V. Mezaris, “A Web Service for Video Summarization“, Proc. ACM Int. Conf. on Interactive Media Experiences (IMX 2020), Barcelona, Spain, June 2020. DOI:10.1145/3391614.3399391.

D. Galanopoulos, V. Mezaris, “Attention Mechanisms, Signal Encodings and Fusion Strategies for Improved Ad-hoc Video Search with Dual Encoding Networks“, Proc. ACM Int. Conf. on Multimedia Retrieval (ICMR 2020), Dublin, Ireland, 2020.  Software available at https://github.com/bmezaris/AVS_dual_encoding_attention_network

N. Gkalelis, V. Mezaris, “Fractional Step Discriminant Pruning: A Filter Pruning Framework for Deep Convolutional Neural Networks“, Proc. 7th IEEE Int. Workshop on Mobile Multimedia Computing (MMC2020) at the IEEE Int. Conf. on Multimedia and Expo (ICME), London, UK, July 2020. Software available at https://github.com/bmezaris/fractional_step_discriminant_pruning_dcnn

N. Gkalelis, V. Mezaris, “Structured Pruning of LSTMs via Eigenanalysis and Geometric Median for Mobile Multimedia and Deep Learning Applications”, Proc. 22nd IEEE Int. Symposium on Multimedia (ISM), Dec. 2020. Software available at https://github.com/bmezaris/lstm_structured_pruning_geometric_median. Find this paper in Zenodo

N. Gkalelis, V. Mezaris, “Subclass deep neural networks: re-enabling neglected classes in deep network training for multimedia classification“, Proc. 26th Int. Conf. on Multimedia Modeling (MMM2020), Daejeon, Korea, Springer LNCS vol. 11961, pp. 227-238, Jan. 2020. Software available at https://github.com/bmezaris/subclass_deep_neural_networks

K. Gkountakos, D. Galanopoulos, M. Mpakratsas, D. Touska, A. Moumtzidou, K. Ioannidis, I. Gialampoukidis, S. Vrochidis, V. Mezaris, I. Kompatsiaris, “ITI-CERTH participation in TRECVID 2020”, Proc. TRECVID 2020 Workshop, Gaithersburg, MD, USA, Dec. 2020. Find this paper in Zenodo

R. Troncy, J. Laaksonen, H. Tavakoli, L. Nixon, V. Mezaris, M. Hosseini, “AI4TV 2020: 2nd International Workshop on AI for Smart TV Content Production, Access and Delivery“, Proc. ACM Multimedia 2020 (ACM MM), Seattle, WA, USA, Oct. 2020. DOI:10.1145/3394171.3421894.

M. Zwicklbauer, W. Lamm, M. Gordon, K. Apostolidis, B. Philipp, V. Mezaris, “Video Analysis for Interactive Story Creation: The Sandmännchen Showcase“, Proc. AI4TV workshop at ACM Multimedia 2020 (ACM MM), Seattle, WA, USA, Oct. 2020.

Basil Philipp, Krzysztof Ciesielski and Lyndon Nixon. “Automatically Adapting and Publishing TV Content for Increased Effectiveness and Efficiency“. in Proc. 1st Int. Workshop on AI for Smart TV Content Production, Access and Delivery (AI4TV ’19) at ACM Multimedia 2019, October 2019, Nice, France.

Evlampios Apostolidis, Alexandros I. Metsai, Eleni Adamantidou, Vasileios Mezaris, and Ioannis Patras, “A Stepwise, Label-based Approach for Improving the Adversarial Training in Unsupervised Video Summarization”, in Proc. 1st Int. Workshop on AI for Smart TV Content Production, Access and Delivery (AI4TV ’19) at ACM Multimedia 2019, October 2019, Nice, France. Software available at https://github.com/e-apostolidis/SUM-GAN-sl

J. Foss, B. Shirley, B. Malheiro, S. Kepplinger, L. Nixon, B. Philipp, V. Mezaris, A. Ulisses, “DataTV 2019: 1st International Workshop on Data Driven Personalisation of Television“, Proc. ACM Int. Conf. on Interactive Experiences for TV and Online Video (TVX 2019), Manchester, UK, June 2019.

Lyndon Nixon, Krzysztof Ciesielski and Basil Philipp. “AI for Audience Prediction and Profiling to Power Innovative TV Content Recommendation Services“, in Proc. 1st Int. Workshop on AI for Smart TV Content Production, Access and Delivery (AI4TV ’19) at ACM Multimedia 2019, October 2019, Nice, France.

Lyndon Nixon, Miggi Zwicklbauer, Lizzy Komen and Basil Philipp, “The Trans-Vector Platform for optimised Re-purposing and Re-publication of TV Content”,  DataTV workshop, at ACM TVX 2019, Manchester, UK, June 2019.

Weichselbraun, A., Brasoveanu, A., Kuntschik, P. and Nixon, L. (2019): “Improving Named Entity Linking Corpora Quality”. Poster at RANLP 2019, Varna, Bulgaria, September 2019.