The demand for various multimedia applications is rapidly increasing due to the recent
advance in the computing and network infrastructure, together with the widespread use of …

Digital video is an emerging force in today's computer and telecommunication industries.
The rapid growth of the Internet, in terms of both bandwidth and the number of users, has …

To cope with the high resource (network and compute) demands of real-time video analytics
pipelines, recent systems have relied on frame filtering. However, filtering has typically been …

In this paper, we propose a Detect-to-Summarize network (DSNet) framework for supervised
video summarization. Our DSNet contains anchor-based and anchor-free counterparts. The …

Video summarization is a challenging problem in part because knowing which part of a
video is important requires prior knowledge about its main topic. We present TVSum, an …

Exploiting the inner-shot and inter-shot dependencies is essential for key-shot based video
summarization. Current approaches mainly devote to modeling the video as a frame …

This paper proposes a novel approach and a new benchmark for video summarization.
Thereby we focus on user videos, which are raw videos containing a set of interesting …

Glimpse is a continuous, real-time object recognition system for camera-equipped mobile
devices. Glimpse captures full-motion video, locates objects of interest, recognizes and …

Travel live streaming (TLS) has become prolific on many social media platforms, yet the
topic has received limited academic attention. This paper uses an affordance lens to explore …

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 …