Video co-summarization: Video summarization by visual co-occurrence
We present video co-summarization, a novel perspective to video summarization that
exploits visual co-occurrence across multiple videos. Motivated by the observation that …
exploits visual co-occurrence across multiple videos. Motivated by the observation that …
Video analytics for visual surveillance and applications: An overview and survey
IE Olatunji, CH Cheng - … Learning Paradigms: Applications of Learning and …, 2019 - Springer
Owing to the massive amount of video data being generated as a result of high proliferation
of surveillance cameras, the manpower to monitor such system is relatively expensive …
of surveillance cameras, the manpower to monitor such system is relatively expensive …
Generating audience response metrics and ratings from social interest in time-based media
MB Fleischman, DK Roy, J Rishel - US Patent 8,543,454, 2013 - Google Patents
G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY
ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR …
ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR …
Estimating social interest in time-based media
MB Fleischman, DK Roy - US Patent 9,542,489, 2017 - Google Patents
Social media content items are mapped to relevant time based media events. These
mappings may be used as the basis for multiple applications, such as ranking of search …
mappings may be used as the basis for multiple applications, such as ranking of search …
Displaying estimated social interest in time-based media
MB Fleischman, DK Roy - US Patent 8,516,374, 2013 - Google Patents
G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY
ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR …
ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR …
Attentive and adversarial learning for video summarization
This paper aims to address the video summarization problem via attention-aware and
adversarial training. We formulate the problem as a sequence-to-sequence task, where the …
adversarial training. We formulate the problem as a sequence-to-sequence task, where the …
A stepwise, label-based approach for improving the adversarial training in unsupervised video summarization
In this paper we present our work on improving the efficiency of adversarial training for
unsupervised video summarization. Our starting point is the SUM-GAN model, which creates …
unsupervised video summarization. Our starting point is the SUM-GAN model, which creates …
Mr. HiSum: a large-scale dataset for video highlight detection and summarization
Video highlight detection is a task to automatically select the most engaging moments from a
long video. This problem is highly challenging since it aims to learn a general way of finding …
long video. This problem is highly challenging since it aims to learn a general way of finding …
Aware video summarization
This paper introduces a novel variant of video summarization, namely building a summary
that depends on the particular aspect of a video the viewer focuses on. We refer to this as …
that depends on the particular aspect of a video the viewer focuses on. We refer to this as …
Recognizing tactic patterns in broadcast basketball video using player trajectory
The explosive growth of the sports fandom inspires much research on manifold sports video
analyses and applications. The audience, sports fans, and even professionals require more …
analyses and applications. The audience, sports fans, and even professionals require more …