Video shot-boundary detection: issues, challenges and solutions

T Kar, P Kanungo, SN Mohanty, S Groppe… - Artificial Intelligence …, 2024 - Springer
The integration of high data transmission rates and the recent digital multimedia technology,
paves the way to access a huge amount of video over the internet, in seconds. Additionally …

Fast shot boundary detection based on separable moments and support vector machine

ZN Idan, SH Abdulhussain, BM Mahmmod… - IEEE …, 2021 - ieeexplore.ieee.org
The large number of visual applications in multimedia sharing websites and social networks
contribute to the increasing amounts of multimedia data in cyberspace. Video data is a rich …

Video retrieval framework based on color co-occurrence feature of adaptive low rank extracted keyframes and graph pattern matching

AK Mallick, S Mukhopadhyay - Information Processing & Management, 2022 - Elsevier
In recent times, exploration of multimedia required ever increasing demand and application
for intelligent video retrieval from repositories. This paper presents an efficient video retrieval …

Semantic scene object-camera motion recognition for scene transition detection using dense spatial frame segments and temporal trajectory analysis

D Chakraborty, W Chiracharit, K Chamnongthai - IEEE Access, 2024 - ieeexplore.ieee.org
Semantic video scene-understanding applications rely on object-camera motion recognition
techniques for scene contextual movement representation. While existing machine learning …

Video shot boundary detection based on feature fusion and clustering technique

FF Duan, F Meng - IEEE Access, 2020 - ieeexplore.ieee.org
For the problems of low accuracy and high complexity in detection of gradual shot boundary
and long shot, a new video shot boundary detection algorithm based on feature fusion and …

A gradient based dual detection model for shot boundary detection

T Kar, P Kanungo - Multimedia Tools and Applications, 2023 - Springer
An efficient video shot boundary detection is highly desirable for subsequent semantic video
content analysis and retrieval applications. The major challenge of shot boundary detection …

Action Recognition Using Action Sequences Optimization and Two‐Stream 3D Dilated Neural Network

X **ong, W Min, Q Han, Q Wang… - Computational …, 2022 - Wiley Online Library
Effective extraction and representation of action information are critical in action recognition.
The majority of existing methods fail to recognize actions accurately because of interference …

A fast and robust shot detection method in hevc/h. 265 compressed video

M Rayatifard, M Mehrabi, M Ghanbari - Multimedia Tools and Applications, 2024 - Springer
Temporal segmentation of video into shots is the first step in most video analysis. This is
because within a shot, consecutive frames are similar to each other, leading to numerous …

Wipe Scene Change Detection in Object-Camera Motion Based on Linear Regression and an Inflated Spatial-Motion Neural Network

D Chakraborty, W Chiracharit, K Chamnongthai… - IEEE …, 2023 - ieeexplore.ieee.org
To facilitate content-based video analysis, automatic scene change detection (SCD) with
large-scale motion activity is an essential fundamental step for locating a transition from one …

Hybrid feature extraction and optimized deep convolutional neural network based video shot boundary detection

R Mishra - Concurrency and Computation: Practice and …, 2022 - Wiley Online Library
This paper presents a hybrid feature extraction and optimized deep learning model for the
effective shot boundary detection (SBD). A cross‐guided bilateral filtering technique is used …