Aligning plot synopses to videos for story-based retrieval
By Makarand Tapaswi, Martin Bäuml, Rainer Stiefelhagen. 2015
36 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal 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
- Jitendra Malik
- Trevor Darrell
- Xiaogang Wang
- Bernt Schiele
- Alan L. Yuille
In Signal Processing
- Louis-philippe Morency
- Tadas Baltrusaitis
- Chaitanya Ahuja
- Antonio Torralba
- Jiaze Wang
- Rainer Stiefelhagen
- Dahua Lin
- Yukun Zhu
Citations in the corpus
- MovieQA: Understanding Stories in Movies through Question-Answering (2015, background): “[39] aligns movies with their plot synopses with the aim to allow semantic browsing of large video content via textual queries.”
- MovieNet: A Holistic Dataset for Movie Understanding (2020, background): “er and scene, a proper way to represent an event is to describe it with natural language. Previous works have already aligned script [46], Descriptive Video Service (DVS) [57], book [91] or wiki plot [66,67,68] to movies. However, books cannot be well aligned since most of the movies would be quite ”
- Multimodal Machine Learning: A Survey and Taxonomy (2017, methodology): “[210] define a similarity between visual scenes and sentences based on appearance of same characters [210] to align TV shows and plot synopses.”