Temporal video segmentation: A survey
By Irena Koprinska, Sergio Carrato. Signal processing. Image communication, 2001
476 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/8fb4b90e63c7888c2b725fe8ce383c105101500a
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
- Siwei Lyu
- Sandra Eliza Fontes de Avila
- Jixu Chen
- Arnaldo de Albuquerque Araújo
- Xin Wang
- Emily Mower Provost
- Antonio da Luz Jr.
- Yelin Kim
In Signal Processing
- Sandra Eliza Fontes de Avila
- Siwei Lyu
- Arnaldo de Albuquerque Araújo
- Emily Mower Provost
- Antonio da Luz Jr.
- Yelin Kim
- Ming-Ching Chang
- Ana Paula Brandão Lopes
Citations in the corpus
- VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method (2011, background): “Its goal is to split the video stream into a set of meaningful and manageable basic elements (e.g., shots, frames) (Koprinska and Carrato, 2001).”
- Modeling transition patterns between events for temporal human action segmentation and classification (2015, background): “Segmentation of videos into salient events is an important task in video analysis that facilitates the retrieval, indexing, annotation, and representation of video data [12].”