A framework for improved video text detection and recognition

By Haojin Yang, Bernhard Quehl, Harald Sack. 2012

56 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Extraction

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

1. Andrea Vedaldi
2. Andrew Zisserman
3. Luc Van Gool
4. Dacheng Tao
5. Jitendra Malik
6. Trevor Darrell
7. Ming-Hsuan Yang
8. Xiaogang Wang

In Information Extraction

1. Andrea Vedaldi
2. Andrew Zisserman
3. Max Jaderberg

Citations in the corpus

• Speeding up Convolutional Neural Networks with Low Rank Expansions (2014, background): “Character classification is an essential part of many text spotting pipelines such as [3, 4, 15, 24, 25, 26, 27, 29, 30, 41, 43].”
• Deep Features for Text Spotting (2014, methodology): “Text detection methods are either based on connected components (CCs) [11, 16, 50, 49, 32–35] or sliding windows [40, 7, 39, 45].”