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Video captioning with text-based dynamic attention and step-by-step learning

  • Published:2020-05 Issue: Volume:133 Page:305-312
  • ISSN:0167-8655
  • Container-title:Pattern Recognition Letters
  • language:en
  • Short-container-title:Pattern Recognition Letters

Author:

Xiao Huanhou,Shi Jinglun

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference36 articles.

1. Spatio-temporal dynamics and semantic attribute enriched visual encoding for video captioning;Aafaq,2019

2. Hierarchical boundary-aware neural encoder for video captioning;Baraldi,2017

3. Collecting highly parallel data for paraphrase evaluation;Chen,2011

4. Meteor universal: language specific translation evaluation for any target language;Denkowski,2014

5. Video captioning with attention-based LSTM and semantic consistency;Gao;IEEE Trans. Multimed.,2017

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1. A Novel Approach for Deep Learning Based Video Classification and Captioning using Keyframe;Lecture Notes in Electrical Engineering;2024

2. Exploring deep learning approaches for video captioning: A comprehensive review;e-Prime - Advances in Electrical Engineering, Electronics and Energy;2023-12

3. Multi-sentence video captioning using spatial saliency of video frames and content-oriented beam search algorithm;Expert Systems with Applications;2023-10

4. Audio-Visual Broadcast Transcription System in the Era of Covid-19;2023 46th International Conference on Telecommunications and Signal Processing (TSP);2023-07-12

5. Video captioning: A comparative review of where we are and which could be the route;Computer Vision and Image Understanding;2023-06
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