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An Effective Video Summarization Framework Based on the Object of Interest Using Deep Learning

https://doi.org/10.1155/2022/7453744

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Microsoft COCO: Common Objects in Context

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STIMO: STIll and MOving video storyboard for the web scenario

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Robust video summarization using collaborative representation of adjacent frames

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Artificial Intelligence of Things-assisted two-stream neural network for anomaly detection in surveillance Big Video Data

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Low complexity high efficiency coding of light fields using ensemble classifiers

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A comprehensive survey of multi-view video summarization

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VSUMM: A mechanism designed to produce static video summaries and a novel evaluation method

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An Improved Algorithm for Video Summarization – A Rank Based Approach

inferredcites →https://doi.org/10.1016/j.procs.2020.03.203openalex-snapshot

Video Summarization Using Highlight Detection and Pairwise Deep Ranking Model

inferredcites →https://doi.org/10.1093/comjnl/bxab117openalex-snapshot

Long Multi-digit Number Recognition from Images Empowered by Deep Convolutional Neural Networks

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Automated License Plate Recognition: A Survey on Methods and Techniques

inferredcites →https://doi.org/10.1109/avss.2016.7738018openalex-snapshot

Video summarization of surveillance cameras

inferredcites →https://doi.org/10.1109/bdc.2014.20openalex-snapshot

Soccer Video Summarization Using Video Content Analysis and Social Media Streams

inferredcites →https://doi.org/10.1109/cvpr.2006.179openalex-snapshot

Making a Long Video Short: Dynamic Video Synopsis

inferredcites →https://doi.org/10.1109/cvpr.2012.6247820openalex-snapshot

Discovering important people and objects for egocentric video summarization

inferredcites →https://doi.org/10.1109/cvpr.2013.350openalex-snapshot

Story-Driven Summarization for Egocentric Video

inferredcites →https://doi.org/10.1109/cvpr.2015.7299154openalex-snapshot

TVSum: Summarizing web videos using titles

inferredcites →https://doi.org/10.1109/cvpr.2016.118openalex-snapshot

From Keyframes to Key Objects: Video Summarization by Representative Object Proposal Selection

inferredcites →https://doi.org/10.1109/icacc.2015.34openalex-snapshot

An Algorithmic Approach for General Video Summarization

inferredcites →https://doi.org/10.1109/icacccn.2018.8748574openalex-snapshot

A Review on Video Summarization Approcahes : Recent Advances and Directions

inferredcites →https://doi.org/10.1109/icaict.2015.7338536openalex-snapshot

An approach to personalized video summarization based on user preferences analysis

inferredcites →https://doi.org/10.1109/icce.2015.7066433openalex-snapshot

Video summarization based on extracted key position of spotted objects

inferredcites →https://doi.org/10.1109/icces48766.2020.9137927openalex-snapshot

Face Recognition from Video using Deep Learning

inferredcites →https://doi.org/10.1109/iccv.2019.00633openalex-snapshot

SCSampler: Sampling Salient Clips From Video for Efficient Action Recognition

inferredcites →https://doi.org/10.1109/iccvw.2019.00195openalex-snapshot

Comprehensive Video Understanding: Video Summarization with Content-Based Video Recommender Design

inferredcites →https://doi.org/10.1109/icdar.2017.66openalex-snapshot

Whiteboard Video Summarization via Spatio-Temporal Conflict Minimization

inferredcites →https://doi.org/10.1109/icip.2002.1037976openalex-snapshot

A model of motion attention for video skimming

inferredcites →https://doi.org/10.1109/icip.2008.4712308openalex-snapshot

Movie summarization based on audiovisual saliency detection

inferredcites →https://doi.org/10.1109/icip.2009.5413677openalex-snapshot

Motion-focusing key frame extraction and video summarization for lane surveillance system

inferredcites →https://doi.org/10.1109/icmla.2017.0-103openalex-snapshot

Human Motion Trajectory Analysis Based Video Summarization

inferredcites →https://doi.org/10.1109/icter48817.2019.9023769openalex-snapshot

Interest-Oriented Video Summarization with Keyframe Extraction

inferredcites →https://doi.org/10.1109/iespc.2017.8071874openalex-snapshot

Event BAGGING: A novel event summarization approach in multiview surveillance videos

inferredcites →https://doi.org/10.1109/intech.2012.6457809openalex-snapshot

Video summarization using shot segmentation and local motion estimation

inferredcites →https://doi.org/10.1109/ism.2010.25openalex-snapshot

Rapid Video Summarization on Compressed Video

inferredcites →https://doi.org/10.1109/ism.2014.67openalex-snapshot

Salient Event Detection in Basketball Mobile Videos

inferredcites →https://doi.org/10.1109/mipr.2019.00055openalex-snapshot

Soccer Video Summarization Using Deep Learning

inferredcites →https://doi.org/10.1109/tcsvt.2004.841694openalex-snapshot

Video summarization and scene detection by graph modeling

inferredcites →https://doi.org/10.1109/tcsvt.2016.2556558openalex-snapshot

Perceptual Video Summarization—A New Framework for Video Summarization

inferredcites →https://doi.org/10.1109/tip.2020.3039886openalex-snapshot

DSNet: A Flexible Detect-to-Summarize Network for Video Summarization

inferredcites →https://doi.org/10.1109/tmm.2008.2008924openalex-snapshot

Scene Detection in Videos Using Shot Clustering and Sequence Alignment

inferredcites →https://doi.org/10.1109/tmm.2011.2165531openalex-snapshot

Summarizing Rushes Videos by Motion, Object, and Event Understanding

inferredcites →https://doi.org/10.1109/wacv.2016.7477704openalex-snapshot

Video summarization for remote invigilation of online exams

inferredcites →https://doi.org/10.1109/wiamis.2008.53openalex-snapshot

Event Detection and Clustering for Surveillance Video Summarization

inferredcites →https://doi.org/10.1145/3477538openalex-snapshot

Deep Semantic and Attentive Network for Unsupervised Video Summarization

inferredcites →https://doi.org/10.1155/2021/6664281openalex-snapshot

A Crowd Counting Framework Combining with Crowd Location

inferredcites →https://doi.org/10.23919/fusion45008.2020.9190469openalex-snapshot

Unique Faces Recognition in Videos

inferredcites →https://doi.org/10.3390/electronics10111293openalex-snapshot

Crowd Counting Using End-to-End Semantic Image Segmentation

inferredcites →https://doi.org/10.3390/s20216251openalex-snapshot

Detecting, Tracking and Counting People Getting On/Off a Metropolitan Train Using a Standard Video Camera

inferredcites →https://doi.org/10.3390/s20236941openalex-snapshot

Self-Supervised Learning to Detect Key Frames in Videos

inferredcites →https://doi.org/10.3390/s21041035openalex-snapshot

Intelligent Video Highlights Generation with Front-Camera Emotion Sensing

inferredcites →https://doi.org/10.3390/s21093028openalex-snapshot

Automatic Number Plate Recognition:A Detailed Survey of Relevant Algorithms

inferredcites →https://doi.org/10.4230/oasics.ng-res.2024.2openalex-snapshot

A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)

inferredcites →https://doi.org/10.5220/0010197402610268openalex-snapshot

Reinforcement Learning based Video Summarization with Combination of ResNet and Gated Recurrent Unit

inferredcites →https://doi.org/10.5281/zenodo.1100163openalex-snapshot

Video Summarization: Techniques And Applications

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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An Audio-Visual Semantics-Based Video Content Analysis Framework for Video Shot Relevance Judgments and Video Summarization Using Electroencephalogram and Pupil Diameters

inferred← citeshttps://doi.org/10.1007/978-981-97-4496-1_13openalex-snapshot

Unsupervised Video Summarization Using Deep Learning Approach with Deep Feature Semantics

inferred← citeshttps://doi.org/10.1007/978-981-97-8329-8_29openalex-snapshot

Emerging Paradigms in Intelligent Query-Dependent Video Summarization: A Comprehensive Review

inferred← citeshttps://doi.org/10.1007/s13198-023-02107-8openalex-snapshot

Detection of traffic rule violation in University campus using deep learning model

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Automatic two-wheeler rider identification and triple-riding detection in surveillance systems using deep-learning models

inferred← citeshttps://doi.org/10.1016/j.engappai.2022.105667openalex-snapshot

A review on video summarization techniques

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Optimized deep learning enabled lecture audio video summarization

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Behavioral profiling for adaptive video summarization: From generalization to personalization

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AI-driven video summarization for optimizing content retrieval and management through deep learning techniques

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Real-Time Event-Driven Road Traffic Monitoring System Using CCTV Video Analytics

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A Systematic Review on Video Summarization Techniques: Approaches, Challenges, and Future Directions

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Object-Based Key Frame Extraction in Videos

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Self Generated Soccer Highlights Using Inflated 3D Convolutional Neural Network

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Hybrid Temporal-Spatial Attention Network with Reinforced Event Prioritization for Intelligent Surveillance Video Summarization

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Inflated 3D Video Summarization: A Comprehensive Review

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Adaptive Object Driven Video Summarization for Smart Surveillance Using YOLO and Storage Optimization Techniques

inferred← citeshttps://doi.org/10.1109/ictest64710.2025.11042556openalex-snapshot

From Theory To Practice: Unsupervised, Weakly Supervised, And Reinforcement Learning Approaches To Video Summarization

inferred← citeshttps://doi.org/10.1109/icvadv67766.2026.11470374openalex-snapshot

Dynamic Video Summarization Based on Objects of Interest Using Deep Neural Networks

inferred← citeshttps://doi.org/10.1109/iscon57294.2023.10112154openalex-snapshot

User Adaptive Video Summarization

inferred← citeshttps://doi.org/10.1109/miucc58832.2023.10278378openalex-snapshot

Object-Based Video Archive Summarization

inferred← citeshttps://doi.org/10.1109/upcon56432.2022.9986376openalex-snapshot

Object Detection based Approach for an Efficient Video Summarization with System Statistics over Cloud

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Auto encoder with mode‐based learning for keyframe extraction in video summarization

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QANet: quaternion attention network for video summarization

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DESIGN AND IMPLEMENTATION OF FUZZY-FRACTIONAL WU–ZHANG SYSTEM USING HE–MOHAND ALGORITHM

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CNN-Based Automatic Helmet Violation Detection of Motorcyclists for an Intelligent Transportation System

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Computationally intelligent real-time security surveillance system in the education sector using deep learning

inferred← citeshttps://doi.org/10.14569/ijacsa.2024.0150155openalex-snapshot

Image Caption Generation using Deep Learning For Video Summarization Applications

inferred← citeshttps://doi.org/10.17485/ijst/v17i15.456openalex-snapshot

A Framework for Video Summarization using Visual Attention Technique

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Deep Learning-Based Video Summarization Using VGGNet and LSTM Architectures for Efficient Keyframe Extraction

inferred← citeshttps://doi.org/10.29121/shodhkosh.v6.i2s.2025.6747openalex-snapshot

AI-BASED EDUCATIONAL VIDEO SUMMARIZATION

inferred← citeshttps://doi.org/10.33425/3066-1226.1095openalex-snapshot

Predicting Time to Event Outcomes in Lung Cancer Detection Using Deep CNN

inferred← citeshttps://doi.org/10.3390/app14114400openalex-snapshot

Personalized Video Summarization: A Comprehensive Survey of Methods and Datasets

inferred← citeshttps://doi.org/10.3390/app15148089openalex-snapshot

A Survey on Video Big Data Analytics: Architecture, Technologies, and Open Research Challenges

inferred← citeshttps://doi.org/10.3390/cryptography7010007openalex-snapshot

Privacy Preserved Video Summarization of Road Traffic Events for IoT Smart Cities

inferred← citeshttps://doi.org/10.38124/ijisrt/25apr1554openalex-snapshot

CCTV Footage Summarization for Increasing Efficiency in Surveillance (using ML)

inferred← citeshttps://doi.org/10.48175/ijarsct-18520openalex-snapshot

Video Summarization using Object Detection Method

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A Deep Learning based Human Detection and Tracking for Security Surveillance Systems

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