Hsa-rnn: Hierarchical structure-adaptive rnn for video summarization
Although video summarization has achieved great success in recent years, few approaches
have realized the influence of video structure on the summarization results. As we know, the …
have realized the influence of video structure on the summarization results. As we know, the …
A novel key-frames selection framework for comprehensive video summarization
Video summarization (VSUMM) has become a popular method in processing massive video
data. The key point of VSUMM is to select the key frames to represent the effective contents …
data. The key point of VSUMM is to select the key frames to represent the effective contents …
Generic event boundary detection: A benchmark for event segmentation
This paper presents a novel task together with a new benchmark for detecting generic,
taxonomy-free event boundaries that segment a whole video into chunks. Conventional …
taxonomy-free event boundaries that segment a whole video into chunks. Conventional …
Automated Visual Content Analysis for Film Studies: Current Status and Challenges.
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 …
Laeo-net: revisiting people looking at each other in videos
Capturing the'mutual gaze'of people is essential for understanding and interpreting the
social interactions between them. To this end, this paper addresses the problem of detecting …
social interactions between them. To this end, this paper addresses the problem of detecting …
Moviecuts: A new dataset and benchmark for cut type recognition
Understanding movies and their structural patterns is a crucial task in decoding the craft of
video editing. While previous works have developed tools for general analysis, such as …
video editing. While previous works have developed tools for general analysis, such as …
Video shot-boundary detection: issues, challenges and solutions
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 …
paves the way to access a huge amount of video over the internet, in seconds. Additionally …
SSET: a dataset for shot segmentation, event detection, player tracking in soccer videos
Soccer video analysis is the focus of sports video research as it receives widespread
attention around the world. However, the lack of soccer datasets hinders the rapid …
attention around the world. However, the lack of soccer datasets hinders the rapid …
Learning from untrimmed videos: Self-supervised video representation learning with hierarchical consistency
Natural videos provide rich visual contents for self-supervised learning. Yet most existing
approaches for learning spatio-temporal representations rely on manually trimmed videos …
approaches for learning spatio-temporal representations rely on manually trimmed videos …
Progressive attention on multi-level dense difference maps for generic event boundary detection
Generic event boundary detection is an important yet challenging task in video
understanding, which aims at detecting the moments where humans naturally perceive …
understanding, which aims at detecting the moments where humans naturally perceive …