Video Retrieval for Everyday Scenes With Common Objects

Author:

Zachariah Arun1ORCID,Rao Praveen1ORCID

Affiliation:

1. University of Missouri, USA

Publisher

ACM

Reference49 articles.

1. 2007. Base X | The XML Framework : Lightweight and High-Performance Data Processing. Retrieved July 1, 2022 from https://basex.org 2007. BaseX | The XML Framework: Lightweight and High-Performance Data Processing. Retrieved July 1, 2022 from https://basex.org

2. 2014. PySceneDetect. Retrieved July 1 2022 from http://scenedetect.com/en/latest/ 2014. PySceneDetect. Retrieved July 1 2022 from http://scenedetect.com/en/latest/

3. Content Based Video Retrieval Systems-Methods, Techniques, Trends and Challenges;Ansari Aasif;International Journal of Computer Applications,2015

4. LAMV: Learning to Align and Match Videos with Kernelized Temporal Layers

5. Mina Bishay , Georgios Zoumpourlis , and Ioannis Patras . 2019 . TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition. In British Machine Vision Conference. 1–14 . Mina Bishay, Georgios Zoumpourlis, and Ioannis Patras. 2019. TARN: Temporal Attentive Relation Network for Few-Shot and Zero-Shot Action Recognition. In British Machine Vision Conference. 1–14.

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