Predicting Movie Trailer Viewer's “Like/Dislike” via Learned Shot Editing Patterns


Nowadays, there are a number of movie trailers publicly on the market on social media web site such as YouTube, and many thousands of users have independently indicated whether they like or dislike those trailers. Although it's understandable that there are multiple factors that would influence viewers' like or dislike of the trailer, we aim to address a preference question in this work: Can subjective multimedia options be developed to predict the viewer's preference presented by like (by thumbs-up) or dislike (by thumbs-down) during and when watching movie trailers? We have a tendency to designed and implemented a computational framework that is composed of low-level multimedia feature extraction, feature screening and selection, and classification, and applied it to a assortment of 725 movie trailers. Experimental results demonstrated that, among dozens of multimedia features, the only low-level multimedia feature of shot length variance is extremely predictive of a viewer's “like/dislike” for a large portion of movie trailers. We have a tendency to interpret these findings such that variable shot lengths in a very trailer tend to provide a rhythm that is doubtless to stimulate a viewer's positive preference. This conclusion was additionally proved by the repeatability experiments results using another 600 trailer videos and it was more interpreted by viewers'eye-tracking information.

Did you like this research project?

To get this research project Guidelines, Training and Code... Click Here

PROJECT TITLE : Comparing Different Resampling Methods in Predicting Students Performance Using Machine Learning Techniques ABSTRACT: Predicting students' performance is one of the most valuable and important research areas in
PROJECT TITLE : A Two-Stage Model to Predict Surgical Patients’ Lengths of Stay From an Electronic Patient Database ABSTRACT: Increasing healthcare expenses and a growing demand for services necessitate a more efficient use
PROJECT TITLE : Predicting Detection Performance on Security X-Ray Images as a Function of Image Quality ABSTRACT: Research into how image quality impacts work performance is a hot topic in many industries. The security X-ray
PROJECT TITLE :A Machine Learning Approach for Tracking and Predicting Student Performance in Degree Programs - 2018ABSTRACT:Accurately predicting students' future performance based on their ongoing academic records is crucial
PROJECT TITLE : Predicting Social Emotions from ReadersÕ Perspective - 2017 ABSTRACT: Thanks to the speedy development of Net, massive numbers of documents assigned by readers’ emotions have been generated

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry