Subtitle-free Movie to Script Alignment
By K. Pramod Sankar, C. V. Jawahar, Andrew Zisserman. 2009
50 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Control and Systems Engineering, Language and Linguistics, Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Luc Van Gool
- Andrew Zisserman
- Dacheng Tao
- Xiaogang Wang
- Bernt Schiele
- Trevor Darrell
- Jitendra Malik
- Yi Yang
In Control and Systems Engineering
- Antonio Torralba
- Ruslan Salakhutdinov
- Rainer Stiefelhagen
- Richard S. Zemel
- Yukun Zhu
- Martin Bäuml
- Makarand Tapaswi
- Raquel Urtasun
In Language and Linguistics
In Natural Language Processing
- Antonio Torralba
- Ruslan Salakhutdinov
- Sanja Fidler
- Mohit Bansal
- Raquel Urtasun
- Yoshua Bengio
- Kyunghyun Cho
- Jianfeng Gao
Citations in the corpus
- Aligning Books and Movies: Towards Story-Like Visual Explanations by Watching Movies and Reading Books (2015, background): “[31] further developed a system which identified sets of visual and audio features to align movies and scripts without making use of the subtitles.”
- MovieQA: Understanding Stories in Movies through Question-Answering (2015, background): “In [7, 34], the authors aligned videos with movie scripts in order to improve scene prediction.”
- Book2Movie: Aligning video scenes with book chapters (2015, background): “DTW3 [25] (similar to DP [23]) forces a scene s to be assigned to the same or subsequent chapter as scene s − 1.”
- Aligning plot synopses to videos for story-based retrieval (2015, methodology): “[36] rely on visual features such as faces (or characters), locations, and the output of an automatic speech recognition system to perform the alignment.”