MM-AU:Towards Multimodal Understanding of Advertisement Videos

Author:

Bose Digbalay1ORCID,Hebbar Rajat1ORCID,Feng Tiantian1ORCID,Somandepalli Krishna2ORCID,Xu Anfeng1ORCID,Narayanan Shrikanth1ORCID

Affiliation:

1. University of Southern California, Los Angeles, CA, USA

2. Google Research, New York, NY, USA

Publisher

ACM

Reference75 articles.

1. Sami Abu-El-Haija , Nisarg Kothari , Joonseok Lee , Apostol Natsev , George Toderici , Balakrishnan Varadarajan , and Sudheendra Vijayanarasimhan . 2016. YouTube-8M: A Large-Scale Video Classification Benchmark. ArXiv , Vol. abs/ 1609 .08675 ( 2016 ). Sami Abu-El-Haija, Nisarg Kothari, Joonseok Lee, Apostol Natsev, George Toderici, Balakrishnan Varadarajan, and Sudheendra Vijayanarasimhan. 2016. YouTube-8M: A Large-Scale Video Classification Benchmark. ArXiv, Vol. abs/1609.08675 (2016).

2. Hassan Akbari , Linagzhe Yuan , Rui Qian , Wei-Hong Chuang , Shih-Fu Chang , Yin Cui , and Boqing Gong . 2021 . VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. In Neural Information Processing Systems. Hassan Akbari, Linagzhe Yuan, Rui Qian, Wei-Hong Chuang, Shih-Fu Chang, Yin Cui, and Boqing Gong. 2021. VATT: Transformers for Multimodal Self-Supervised Learning from Raw Video, Audio and Text. In Neural Information Processing Systems.

3. Max Bain , Arsha Nagrani , Andrew Brown , and Andrew Zisserman . 2020 . Condensed movies: Story based retrieval with contextual embeddings . In Proceedings of the Asian Conference on Computer Vision. Max Bain, Arsha Nagrani, Andrew Brown, and Andrew Zisserman. 2020. Condensed movies: Story based retrieval with contextual embeddings. In Proceedings of the Asian Conference on Computer Vision.

4. LIRIS-ACCEDE: A Video Database for Affective Content Analysis

5. MovieCLIP: Visual Scene Recognition in Movies

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