Video Memorability Prediction From Jointly-learnt Semantic and Visual Features

Author:

Martín-Fernández Iván1ORCID,Kleinlein Ricardo1ORCID,Luna-Jiménez Cristina1ORCID,Gil-Martín Manuel1ORCID,Fernández-Martínez Fernando1ORCID

Affiliation:

1. Universidad Politécnica de Madrid, ES

Publisher

ACM

Reference24 articles.

1. Anurag Arnab Mostafa Dehghani Georg Heigold Chen Sun Mario Lučić and Cordelia Schmid. 2021. ViViT: A Video Vision Transformer. arxiv:2103.15691 [cs.CV] Anurag Arnab Mostafa Dehghani Georg Heigold Chen Sun Mario Lučić and Cordelia Schmid. 2021. ViViT: A Video Vision Transformer. arxiv:2103.15691 [cs.CV]

2. Gedas Bertasius Heng Wang and Lorenzo Torresani. 2021. Is Space-Time Attention All You Need for Video Understanding?arxiv:2102.05095 [cs.CV] Gedas Bertasius Heng Wang and Lorenzo Torresani. 2021. Is Space-Time Attention All You Need for Video Understanding?arxiv:2102.05095 [cs.CV]

3. Zoya Bylinskii , Lore Goetschalckx , Anelise Newman , and Aude Oliva . 2022 . Memorability: An image-computable measure of information utility. Human Perception of Visual Information: Psychological and Computational Perspectives (2022), 207–239. Zoya Bylinskii, Lore Goetschalckx, Anelise Newman, and Aude Oliva. 2022. Memorability: An image-computable measure of information utility. Human Perception of Visual Information: Psychological and Computational Perspectives (2022), 207–239.

4. Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra Adam Roberts Paul Barham Hyung Won Chung Charles Sutton Sebastian Gehrmann Parker Schuh Kensen Shi Sasha Tsvyashchenko Joshua Maynez Abhishek Rao Parker Barnes Yi Tay Noam Shazeer Vinodkumar Prabhakaran Emily Reif Nan Du Ben Hutchinson Reiner Pope James Bradbury Jacob Austin Michael Isard Guy Gur-Ari Pengcheng Yin Toju Duke Anselm Levskaya Sanjay Ghemawat Sunipa Dev Henryk Michalewski Xavier Garcia Vedant Misra Kevin Robinson Liam Fedus Denny Zhou Daphne Ippolito David Luan Hyeontaek Lim Barret Zoph Alexander Spiridonov Ryan Sepassi David Dohan Shivani Agrawal Mark Omernick Andrew M. Dai Thanumalayan Sankaranarayana Pillai Marie Pellat Aitor Lewkowycz Erica Moreira Rewon Child Oleksandr Polozov Katherine Lee Zongwei Zhou Xuezhi Wang Brennan Saeta Mark Diaz Orhan Firat Michele Catasta Jason Wei Kathy Meier-Hellstern Douglas Eck Jeff Dean Slav Petrov and Noah Fiedel. 2022. PaLM: Scaling Language Modeling with Pathways. arxiv:2204.02311 [cs.CL] Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra Adam Roberts Paul Barham Hyung Won Chung Charles Sutton Sebastian Gehrmann Parker Schuh Kensen Shi Sasha Tsvyashchenko Joshua Maynez Abhishek Rao Parker Barnes Yi Tay Noam Shazeer Vinodkumar Prabhakaran Emily Reif Nan Du Ben Hutchinson Reiner Pope James Bradbury Jacob Austin Michael Isard Guy Gur-Ari Pengcheng Yin Toju Duke Anselm Levskaya Sanjay Ghemawat Sunipa Dev Henryk Michalewski Xavier Garcia Vedant Misra Kevin Robinson Liam Fedus Denny Zhou Daphne Ippolito David Luan Hyeontaek Lim Barret Zoph Alexander Spiridonov Ryan Sepassi David Dohan Shivani Agrawal Mark Omernick Andrew M. Dai Thanumalayan Sankaranarayana Pillai Marie Pellat Aitor Lewkowycz Erica Moreira Rewon Child Oleksandr Polozov Katherine Lee Zongwei Zhou Xuezhi Wang Brennan Saeta Mark Diaz Orhan Firat Michele Catasta Jason Wei Kathy Meier-Hellstern Douglas Eck Jeff Dean Slav Petrov and Noah Fiedel. 2022. PaLM: Scaling Language Modeling with Pathways. arxiv:2204.02311 [cs.CL]

5. Jacob Devlin , Ming-Wei Chang , Kenton Lee , and Kristina Toutanova . 2018 . Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018). Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018. Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805 (2018).

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1. MemXNet: A Multimodal Approach for Video Memorability Prediction;Lecture Notes in Networks and Systems;2024

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