… [167] present the first deep learning architecture for temporal video CS reconstruction …
In this study, we reviewed the deep learning studies related to popular seven research areas: …

… a review on the deep learning methods for prediction in video sequences. We first define the
video … Next, we carefully analyze existing video prediction models organized according to a …

… Current status and trends in video analysis are revealed through literature review. Finally
the vital points which need more consideration in near future are explicitly stated. …

… the survey presents a detailed and structured analysis of video anomaly detection using deep
learning methods, … The main contributions of the research work can be outlined as follows. …

… study is to present a systematic literature study in order to show the applications of deep
learning … [42] Video trajectory analysis using unsupervised clustering and multicriteria ranking …

… paper reviews the current state of AD detection using deep learning. Through a systematic
literature review … Specifically, we review useful biomarkers and features (personal information, …

… to deep learning architectures (see Section III-A) and then focuses on their application in
the video summarization domain by providing a systematic review of the relevant bibliography. …

… However, despite the several research works on deep learning based RS, very few … Therefore,
this study aims to provide a systematic literature review (SLR) of deep learning based RSs …

… Literature Search A comprehensive literature search was conducted using Medline (via …
(IU-V) Automatic detection of instrument use from the laparoscopic video using ML models. …

… However, deep learning-based video coding remains in its infancy. … review the representative
works about using deep learning for image/video coding, an actively developing research …