Cognitively Inspired Video Text Processing

Researchers are increasingly focusing on text detection and recognition in video and natural scene images, as they are essential for various real-time applications such as retrieving and indexing video, machine translation, and assisting blind people. These applications require cognitive-based methods to find solutions.

Format: Paperback / softback
Length: 275 pages
Publication date: 18 November 2022
Publisher: Springer Verlag, Singapore

As technologies continue to advance at an unprecedented pace, the significance of text detection and recognition has garnered significant attention from researchers. Consequently, one can observe numerous real-time applications of video text processing that necessitate cognitive-based methods to find solutions. The primary applications of this field include:
1. Retrieving and indexing video content based on its semantic meaning.
2. Providing machine translation services to assist foreigners.
3. Enabling blind individuals to navigate the road independently without the need for assistance.
4. Implementing automatic vehicle driving capabilities.
5. Detecting and tracing license plates of vehicles that violate traffic signals.
6. Monitoring images posted on social media platforms based on text and content analysis.
7. Identifying the location of addresses and street shops through image recognition.
8. Tracing players in sports events based on their jersey/bib numbers or text.
9. Similarly, tracing bib numbers in marathon and other events.

In all these applications, text detection and recognition play a vital role in ensuring accurate and efficient processing of visual data. The development of robust and efficient text extraction techniques has opened up new possibilities for various industries, including surveillance, education, healthcare, and transportation.

As technology continues to evolve, we can expect to see even more innovative applications of text detection and recognition in the future, revolutionizing the way we interact with and analyze visual information.

Weight: 444g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811670718
Edition number: 1st ed. 2021