Methods and challenges in shot boundary detection: a review
The recent increase in the number of videos available in cyberspace is due to the availability
of multimedia devices, highly developed communication technologies, and low-cost storage …
of multimedia devices, highly developed communication technologies, and low-cost storage …
Ridiculously fast shot boundary detection with fully convolutional neural networks
M Gygli - 2018 International conference on content-based …, 2018 - ieeexplore.ieee.org
Shot boundary detection (SBD) is an important component of many video analysis tasks,
such as action recognition'video indexing, summarization and editing. Previous work …
such as action recognition'video indexing, summarization and editing. Previous work …
A salient dictionary learning framework for activity video summarization via key-frame extraction
Recently, dictionary learning methods for unsupervised video summarization have
surpassed traditional video frame clustering approaches. This paper addresses static …
surpassed traditional video frame clustering approaches. This paper addresses static …
Key-frame selection for automatic summarization of surveillance videos: a method of multiple change-point detection
Recent years have witnessed a drastic growth of various videos in real-life scenarios, and
thus there is an increasing demand for a quick view of such videos in a constrained amount …
thus there is an increasing demand for a quick view of such videos in a constrained amount …
A novel compact yet rich key frame creation method for compressed video summarization
M Fei, W Jiang, W Mao - Multimedia Tools and Applications, 2018 - Springer
Video summarization has great potential to enable rapid browsing and efficient video
indexing in many applications. In this study, we propose a novel compact yet rich key frame …
indexing in many applications. In this study, we propose a novel compact yet rich key frame …
Video scene detection using compact bag of visual word models
Video segmentation into shots is the first step for video indexing and searching. Videos
shots are mostly very small in duration and do not give meaningful insight of the visual …
shots are mostly very small in duration and do not give meaningful insight of the visual …
Key-frame selection for video summarization: An approach of multidimensional time series analysis
Z Gao, G Lu, P Yan - Multidimensional Systems and Signal Processing, 2018 - Springer
This paper presents a novel method of key-frame selection for video summarization based
on multidimensional time series analysis. In the proposed scheme, the given video is first …
on multidimensional time series analysis. In the proposed scheme, the given video is first …
Motion and illumination defiant cut detection based on Weber features
T Kar, P Kanungo - IET Image Processing, 2018 - Wiley Online Library
The spontaneous proliferation of video data necessitates implementing hierarchical
structures for various content management applications. Temporal video segmentation is the …
structures for various content management applications. Temporal video segmentation is the …
Effective video shot boundary detection and keyframe selection using soft computing techniques
BS Rashmi, HS Nagendraswamy - International Journal of Computer …, 2018 - igi-global.com
The amount of video data generated and made publicly available has been tremendously
increased in today's digital era. Analyzing these huge video repositories require effective …
increased in today's digital era. Analyzing these huge video repositories require effective …
Greedy salient dictionary learning for activity video summarization
Automated video summarization is well-suited to the task of analysing human activity videos
(eg, from surveillance feeds), mainly as a pre-processing step, due to the large volume of …
(eg, from surveillance feeds), mainly as a pre-processing step, due to the large volume of …