Key-frame extraction techniques: A review
MK Asha Paul, J Kavitha… - Recent Patents on …, 2018 - ingentaconnect.com
Background: The massive database of videos is growing day by day in this era. Analyzing
such huge data is always a time-consuming process. The effective use of video content …
such huge data is always a time-consuming process. The effective use of video content …
Automated Visual Content Analysis for Film Studies: Current Status and Challenges.
K Pustu-Iren, J Sittel, R Mauer… - DHQ: Digital …, 2020 - search.ebscohost.com
Lots of approaches for automated video analysis have been suggested since the 1990ies,
which have the potential to support quantitative and qualitative analysis in film studies …
which have the potential to support quantitative and qualitative analysis in film studies …
Fast shot segmentation combining global and local visual descriptors
E Apostolidis, V Mezaris - 2014 IEEE International Conference …, 2014 - ieeexplore.ieee.org
This paper introduces an algorithm for fast temporal segmentation of videos into shots. The
proposed method detects abrupt and gradual transitions, based on the visual similarity of …
proposed method detects abrupt and gradual transitions, based on the visual similarity of …
Multi-modal visual features-based video shot boundary detection
One of the essential pre-processing steps of semantic video analysis is the video shot
boundary detection (SBD). It is the primary step to segment the sequence of video frames …
boundary detection (SBD). It is the primary step to segment the sequence of video frames …
VISCOM: A robust video summarization approach using color co-occurrence matrices
MV Mussel Cirne, H Pedrini - Multimedia Tools and Applications, 2018 - Springer
Video summarization techniques have allowed the content analysis of large volumes of
digital video sequences of different categories, such as movies, documentaries, lectures …
digital video sequences of different categories, such as movies, documentaries, lectures …
Feature aggregation based visual attention model for video summarization
Video summarization is an integral component of video archiving systems. It provides small
versions of the videos that are suitable for enhancing browsing and navigation capabilities …
versions of the videos that are suitable for enhancing browsing and navigation capabilities …
A novel method for video shot boundary detection using CNN-LSTM approach
A Benoughidene, F Titouna - International Journal of Multimedia …, 2022 - Springer
Due to the rapid growth of digital videos and the massive increase in video content, there is
an urgent need to develop efficient automatic video content analysis mechanisms for …
an urgent need to develop efficient automatic video content analysis mechanisms for …
Automatic detection of video shot boundary in social media using a hybrid approach of HLFPN and keypoint matching
RK Shen, YN Lin, TTY Juang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Shot boundary detection (SBD) is an important and fundamental step in video content
analysis such as content-based video indexing, browsing, and retrieval. In this paper, a …
analysis such as content-based video indexing, browsing, and retrieval. In this paper, a …
Data-driven personalisation of television content: a survey
This survey considers the vision of TV broadcasting where content is personalised and
personalisation is data-driven, looks at the AI and data technologies making this possible …
personalisation is data-driven, looks at the AI and data technologies making this possible …
The detection of video shot transitions based on primary segments using the adaptive threshold of colour-based histogram differences and candidate segments using …
A Kalaivani, S Anusuya - Symmetry, 2022 - mdpi.com
Aim: Advancements in multimedia technology have facilitated the uploading and processing
of videos with substantial content. Automated tools and techniques help to manage vast …
of videos with substantial content. Automated tools and techniques help to manage vast …