scholar.google.com › citations
In this paper, we present an approach for learning concepts from video. The approach consists of three steps. In the first step, video shot boundaries are ...
Learning Semantic Visual Concepts from Video. Jingchun Liu and Bir Bhanu. Center for Research in Intelligent Systems. University of California, Riverside, CA ...
In this paper, we present an approach for learning concepts from video. The approach consists of three steps. In the first step, video shot boundaries are ...
Bibliographic details on Learning Semantic Visual Concepts from Video.
Jul 26, 2023 · Semantic video understanding bridges the gap of labeling, enabling a complete analysis of video content.
Missing: Concepts | Show results with:Concepts
Jun 28, 2022 · In this paper, we propose the vi- sual consensus modeling(VCM) framework which consists of a cross-modal knowledge learning(CKL) module and a.
Oct 12, 2020 · A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. In Proceedings of the 23rd Conference on ...
Video Classification using Semantic Concept Co-occurrences
www.crcv.ucf.edu › research › video-cla...
Classification of complex videos is an active area of research in computer vision. ... training concept detectors and evaluating the concept detection results.
We design a Concept Detector to detect visual concepts in a video and generate conceptual ... Generating diverse and accurate visual captions by comparative ...
Learn- ing everything about anything: Webly-supervised visual concept learning. In Proceedings of CVPR. Charles Fillmore. 1976. Frame semantics and the na-.