Summarization of Egocentric Videos: A Comprehensive Survey
By Ana Garcia Del Molino, Cheston Tan, Joo-Hwee Lim, Ah-Hwee Tan. 2017
116 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Sociology and Political Science, 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
- Kristen Grauman
- Luc Van Gool
- Jitendra Malik
- Trevor Darrell
- Andrew Zisserman
- Dacheng Tao
- Cordelia Schmid
- Ming-Hsuan Yang
In Sociology and Political Science
- Jitendra Malik
- Antonio Torralba
- Lorenzo Torresani
- Dhruv Batra
- Michael S. Ryoo
- Kristen Grauman
- Krzysztof Marcin Choromanski
- Yanghao Li
In Signal Processing
- Kristen Grauman
- Jitendra Malik
- Lorenzo Torresani
- Antonio Torralba
- David J. Crandall
- Christoph Feichtenhofer
- Tushar Nagarajan
- Rohit Girdhar
Citations in the corpus
- Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language (2022, methodology): “Our system draws similarity to early work in the area involving text-based summarization and identifying key frames (see [121] for an early survey and [122, 123] for more recent surveys).”
- Ego4D: Around the World in 3,000 Hours of Egocentric Video (2021, background): “Egocentric video understanding Egocentric video offers a host of interesting challenges, such as human-object interactions [26, 46, 163], activity recognition [110, 139, 243], anticipation [4, 75, 86, 144, 205], video summarization [48, 129, 131, 147, 148, 232], detecting hands [16, 134], parsing so”
- EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset (2020, background): “Instead, EgoCom is multi-disciplinary, combining synchronized multi-perspective, multi-modal communications data and egocentricity [19] with elements of conversational AI [20], natural language, audio, computer vision, and spatial AI [21].”
- Video Summarization Using Deep Neural Networks: A Survey (2021, background): “[8] focuses on egocentric video summarization and discusses the specifications and the challenges of this task.”
- A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos (2018, background): “Although video summarization techniques [4, 14] provide quick access to videos’ information, they only return segmented clips or single images of the relevant moments.”
- Ego-Exo: Transferring Visual Representations from Third-person to First-person Videos (2021, background): “It is the subject of a recent surge in research interest in first-person activity recognition [35, 77], anticipation [21, 1], and video summarization [36, 74, 13] with many valuable future applications in augmented reality and robotics.”