Video shot boundary detection: Seven years of TRECVid activity
By Alan F. Smeaton, Paul Over, Aiden R. Doherty. Computer Vision and Image Understanding, 2010
323 citations recorded by the source corpus.
Shot boundary detection (SBD) is the process of automatically detecting the boundaries between shots in video. It is a problem which has attracted much attention since video became available in digital form as it is an essential pre-processing step to almost all video analysis, indexing, summarisation, search, and other content-based operations. Automatic SBD was one of the tracks of activity within the annual TRECVid benchmarking exercise, each year from 2001 to 2007 inclusive. Over those seven years we have seen 57 different research groups from across the world work to determine the best approaches to SBD while using a common dataset and common scoring metrics. In this paper we present an overview of the TRECVid shot boundary detection task, a high-level overview of the most significant of the approaches taken, and a comparison of performances, focussing on one year (2005) as an example.
Subfields: Computer Vision and Pattern Recognition, Signal Processing
View Paper: https://www.semanticscholar.org/paper/df2f072d0bc1aa026aeef5e3fd3c4367c2de1b2c
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
- S. Maybank
- Weiming Hu
- Alejandro Jaimes
- Radha Poovendran
- Hossein Hosseini
- Andrew Clark
- Amanda Stent
- Mickael Rouvier
In Signal Processing
- S. Maybank
- Alejandro Jaimes
- Radha Poovendran
- Hossein Hosseini
- Amanda Stent
- Mickael Rouvier
- Yale Song
- Jordi Vallmitjana
Citations in the corpus
- Attacking Automatic Video Analysis Algorithms: A Case Study of Google Cloud Video Intelligence API (2017, methodology): “Several papers have proposed methods for gradual shot detection in videos [5, 20, 45].”
- TVSum: Summarizing web videos using titles (2015, background): “Shot Segmentation Shot segmentation [41] is a crucial step in video summarization for maintaining visual coherence within each shot, which in turn affects the overall quality of a summary.”
- An open-source state-of-the-art toolbox for broadcast news diarization (2013, background): “Quite a lot of approaches have been proposed in the literature in the last two decades [31].”
- A Survey on Visual Content-Based Video Indexing and Retrieval (2011, background): “The research on shot boundary detection has a long history, and there exist specific surveys on video shot boundary detection [16], [263].”