Long-form video-language pre-training with multimodal temporal contrastive learning
Large-scale video-language pre-training has shown significant improvement in video-
language understanding tasks. Previous studies of video-language pretraining mainly focus …
language understanding tasks. Previous studies of video-language pretraining mainly focus …
Efficient movie scene detection using state-space transformers
The ability to distinguish between different movie scenes is critical for understanding the
storyline of a movie. However, accurately detecting movie scenes is often challenging as it …
storyline of a movie. However, accurately detecting movie scenes is often challenging as it …
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 …
Hierarchical boundary-aware neural encoder for video captioning
Abstract The use of Recurrent Neural Networks for video captioning has recently gained a
lot of attention, since they can be used both to encode the input video and to generate the …
lot of attention, since they can be used both to encode the input video and to generate the …
Transnet v2: An effective deep network architecture for fast shot transition detection
Although automatic shot transition detection approaches are already investigated for more
than two decades, an effective universal human-level model was not proposed yet. Even for …
than two decades, an effective universal human-level model was not proposed yet. Even for …
A novel key-frames selection framework for comprehensive video summarization
C Huang, H Wang - IEEE Transactions on Circuits and Systems …, 2019 - ieeexplore.ieee.org
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.
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 …
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 …
Newsnet: A novel dataset for hierarchical temporal segmentation
Temporal video segmentation is the get-to-go automatic video analysis, which decomposes
a long-form video into smaller components for the following-up understanding tasks. Recent …
a long-form video into smaller components for the following-up understanding tasks. Recent …