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Implicit and Explicit Concept Relations in Deep Neural Networks for Multi-Label Video/Image Annotation., , and . IEEE Trans. Circuits Syst. Video Techn., 29 (6): 1631-1644 (2019)Deep Multi-task Learning with Label Correlation Constraint for Video Concept Detection., , and . ACM Multimedia, page 501-505. ACM, (2016)Attention Mechanisms, Signal Encodings and Fusion Strategies for Improved Ad-hoc Video Search with Dual Encoding Networks., and . ICMR, page 336-340. ACM, (2020)Subclass Deep Neural Networks: Re-enabling Neglected Classes in Deep Network Training for Multimedia Classification., and . MMM (1), volume 11961 of Lecture Notes in Computer Science, page 227-238. Springer, (2020)Data-driven personalisation of television content: a survey., , , and . Multim. Syst., 28 (6): 2193-2225 (2022)A Comparative Study on the Use of Multi-label Classification Techniques for Concept-Based Video Indexing and Annotation., , and . MMM (1), volume 8325 of Lecture Notes in Computer Science, page 1-12. Springer, (2014)On the use of feature tracks for dynamic concept detection in video., , and . ICIP, page 4697-4700. IEEE, (2010)High-level event detection in video exploiting discriminant concepts., , and . CBMI, page 85-90. IEEE, (2011)Video shot meta-segmentation based on multiple criteria for gradual transition detection., , and . CBMI, page 51-57. IEEE, (2008)Selecting A Diverse Set Of Aesthetically-Pleasing and Representative Video Thumbnails Using Reinforcement Learning., , , and . ICIP, page 2460-2464. IEEE, (2023)