Apr 4, 2018 · This phenomenon leads to a challenging yet important problem, namely fine-grained video attractiveness prediction. However, one major obstacle ...
The first fine-grained video attractiveness dataset (FVAD) is constructed, which is collected from one of the most popular video websites in the world and ...
To this end, we construct the first fine-grained video attractiveness dataset (FVAD), which is collected from one of the most popular video websites in the ...
Apr 23, 2018 · This phenomenon leads to a challenging yet important problem, namely fine-grained video attractiveness prediction. However, one major obstacle ...
Fine-grained Video Attractiveness Prediction Using Multimodal ...
experts.illinois.edu › fingerprints
Dive into the research topics of 'Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset'. Together they form ...
Aggregating Frame-level Features for Large-scale Video ... Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world ...
Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset. X Chen, J Chen, L Ma, J Yao, W Liu, J Luo, T Zhang.
A video or segment is consid- ered attractive if it gains a high view count based on the statistics gathered on a large number of users. The larger the view ...
Fine-grained video attractiveness prediction using multimodal deep learning on a large real-world dataset. D. Cheng et al. Spatio-temporal attention-based ...
Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset ... The first fine-grained video attractiveness dataset ...