USING TRANSFER LEARNING FOR VIDEO POPULARITY PREDICTION

Prediction of Video Popularity Based on Cross - Domain Knowledge Transfer

Recurrent Neural Networks for Online Video Popularity Prediction

In this paper, we address the problem of popularity prediction of online videos shared in social media. We prove that this challenging task can be approached using recently proposed deep neural network architectures. We cast the popularity prediction problem as a classification task and we aim to solve it using only visual cues extracted from videos. To that end, we propose a new method based o...

Prediction of Movies popularity Using Machine Learning Techniques

Number of movies are released every week. There is a large amount of data related to the movies is available over the internet, because of that much data available, it is an interesting data mining topic. The prediction of movies is complex problem. Every viewer, producer, director’s production houses all are curious about the movies that how it will perform in the theatre. Many work has been d...

Category Specific Post Popularity Prediction

Social media have become dominant in everyday life during the last few years where users share their thoughts and experiences about their enjoyable events in posts. Most of these posts are related to different categories related to: activities, such as dancing, landscapes, such as beach, people, such as selfie, and animals such as pets. While some of these posts become popular and get more atte...

Transfer Learning for Video Recognition with Scarce Training Data

Unconstrained video recognition and Deep Convolution Network (DCN) are two active topics in computer vision recently. In this work, we apply DCNs as frame-based recognizers for video recognition. Our preliminary studies, however, show that video corpora with complete ground truth are usually not large and diverse enough to learn a robust model. The networks trained directly on the video data se...