Detecting moments and highlights in videos via natural language queries
Detecting customized moments and highlights from videos given natural language (NL) user
queries is an important but under-studied topic. One of the challenges in pursuing this …
queries is an important but under-studied topic. One of the challenges in pursuing this …
A Survey on Intelligent Solutions for Increased Video Delivery Quality in Cloud-Edge-End Networks
The digital age has brought a significant increase in video traffic. This traffic growth, driven
by rapid internet advancements and a surge in multimedia applications, presents both …
by rapid internet advancements and a surge in multimedia applications, presents both …
Joint visual and audio learning for video highlight detection
In video highlight detection, the goal is to identify the interesting moments within an unedited
video. Although the audio component of the video provides important cues for highlight …
video. Although the audio component of the video provides important cues for highlight …
Video skimming: Taxonomy and comprehensive survey
Video skimming, also known as dynamic video summarization, generates a temporally
abridged version of a given video. Skimming can be achieved by identifying significant …
abridged version of a given video. Skimming can be achieved by identifying significant …
Contrastive learning for unsupervised video highlight detection
Video highlight detection can greatly simplify video browsing, potentially paving the way for
a wide range of applications. Existing efforts are mostly fully-supervised, requiring humans …
a wide range of applications. Existing efforts are mostly fully-supervised, requiring humans …
Multiple pairwise ranking networks for personalized video summarization
In this paper, we investigate video summarization in the supervised setting. Since video
summarization is subjective to the preference of the end-user, the design of a unique model …
summarization is subjective to the preference of the end-user, the design of a unique model …
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 …
Task-Driven Exploration: Decoupling and Inter-Task Feedback for Joint Moment Retrieval and Highlight Detection
Video moment retrieval and highlight detection are two highly valuable tasks in video
understanding but until recently they have been jointly studied. Although existing studies …
understanding but until recently they have been jointly studied. Although existing studies …
Learning pixel-level distinctions for video highlight detection
The goal of video highlight detection is to select the most attractive segments from a long
video to depict the most interesting parts of the video. Existing methods typically focus on …
video to depict the most interesting parts of the video. Existing methods typically focus on …
Adaptive video highlight detection by learning from user history
Recently, there is an increasing interest in highlight detection research where the goal is to
create a short duration video from a longer video by extracting its interesting moments …
create a short duration video from a longer video by extracting its interesting moments …