DEEP-AD: A Multimodal Temporal Video Segmentation Framework for Online Video Advertising
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2997949
Abstract: In this paper, we introduce the DEEP-AD framework, a multimodal advertisement insertion system dedicated to online video platforms. The framework is designed from the viewer’s perspective, in terms of commercial contextual relevance and degree of… read more here.
Keywords: video; methodology; online video; temporal video ... See more keywords
Tencent AVS: A Holistic Ads Video Dataset for Multi-Modal Scene Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3227425
Abstract: Temporal video segmentation and classification have been advanced greatly by public benchmarks in recent years. However, such research still mainly focuses on human actions, failing to describe videos in a holistic view. In addition, previous… read more here.
Keywords: tavs; segmentation; multi modal; video segmentation ... See more keywords
One-Shot Learning-Based Animal Video Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3117020
Abstract: Deep learning-based video segmentation methods can offer a good performance after being trained on the large-scale pixel labeled datasets. However, a pixel-wise manual labeling of animal images is challenging and time consuming due to irregular… read more here.
Keywords: one shot; video segmentation; learning based; segmentation ... See more keywords
Language-Aware Spatial-Temporal Collaboration for Referring Video Segmentation.
Sign Up to like & getrecommendations! Published in 2023 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2023.3235720
Abstract: Given a natural language referring expression, the goal of referring video segmentation task is to predict the segmentation mask of the referred object in the video. Previous methods only adopt 3D CNNs upon the video… read more here.
Keywords: language aware; language; video segmentation; referring video ... See more keywords
Gradient-driven unsupervised video segmentation using deep learning techniques
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.29.1.013019
Abstract: Abstract. We propose a three-dimensional video segmentation method using deep learning convolutional neural nets. The algorithm utilizes the local gradient computed at each pixel location together with the global boundary map acquired through deep learning… read more here.
Keywords: video segmentation; using deep; deep learning; segmentation ... See more keywords
SoC Hardware Implementation of Real-Time Video Segmentation based on the Mixture of Gaussian Algorithm
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Low Power Electronics and Applications"
DOI: 10.3390/jlpea7020012
Abstract: Video segmentation based on the Mixture of Gaussian (MoG) algorithm is widely used in video processing systems, and hardware implementations have been proposed in the past years. Most previous work focused on high-performance custom design… read more here.
Keywords: video; segmentation; time; mog algorithm ... See more keywords