TWD: A New Deep E2E Model for Text Watermark/Caption and Scene Text Detection in Video-Reference-Cited by-同舟云学术

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TWD: A New Deep E2E Model for Text Watermark/Caption and Scene Text Detection in Video

Published:2022-08-21 Issue: Volume: Page:
ISSN:
Container-title:2022 26th International Conference on Pattern Recognition (ICPR)
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Author:

Banerjee Ayan¹,Shivakumara Palaiahnakote²,Acharya Parikshit¹,Pal Umapada¹,Canet Josep Llados³

Affiliation:

1. Indian Statistical Institute,Computer Vision and Pattern Recognition Unit,Kolkata,India

2. University of Malaya,Facutlty of Computer Science and Information Technology,Kuala Lumpur,Malaysia

3. Universitat Autònoma de Barcelona,Computer Vision Center,Spain

Funder

Indian Statistical Institute

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9956007/9955631/09956279.pdf?arnumber=9956279

Reference40 articles.

1. A Large Chinese Text Dataset in the Wild

2. ICDAR2019 Robust Reading Challenge on Multi-lingual Scene Text Detection and Recognition — RRC-MLT-2019

3. A top-down approach to articulated human pose estimation and tracking;ning;Proc ECCV,2018

4. Stacked Hourglass Network for Robust Facial Landmark Localisation

5. Improving Object Localization with Fitness NMS and Bounded IoU Loss

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1. A Study of Text Extraction Algorithms for Natural Scene Images;SN Computer Science;2024-07-27

2. A New Unsupervised Approach for Text Localization in Shaky and Non-shaky Scene Video;Lecture Notes in Computer Science;2024

3. Heuristic Optimization Algorithm Based Watermarking on Content Authentication and Tampering Detection for English Text;IEEE Access;2023

4. A New Transformer-Based Approach for Text Detection in Shaky and Non-shaky Day-Night Video;Lecture Notes in Computer Science;2023

5. Fourier Feature-based CBAM and Vision Transformer for Text Detection in Drone Images;Document Analysis and Recognition – ICDAR 2023 Workshops;2023

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