LTC-GIF: Attracting More Clicks on Feature-length Sports Videos

TL;DR

This paper introduces LTC-GIF, a lightweight, efficient method for generating personalized artistic media like GIFs from sports videos, optimized for resource-constrained devices to attract viewers and increase video engagement.

Contribution

It presents a novel approach using lightweight thumbnail containers and partial video processing to generate artistic media efficiently on client devices.

Findings

3.57 times lower computational complexity than state-of-the-art methods

GIFs received 1.02 higher overall ratings in qualitative assessments

First technique to use LTC for artistic media generation on resource-limited devices

Abstract

This paper proposes a lightweight method to attract users and increase views of the video by presenting personalized artistic media -- i.e, static thumbnails and animated GIFs. This method analyzes lightweight thumbnail containers (LTC) using computational resources of the client device to recognize personalized events from full-length sports videos. In addition, instead of processing the entire video, small video segments are processed to generate artistic media. This makes the proposed approach more computationally efficient compared to the baseline approaches that create artistic media using the entire video. The proposed method retrieves and uses thumbnail containers and video segments, which reduces the required transmission bandwidth as well as the amount of locally stored data used during artistic media generation. When extensive experiments were conducted on the Nvidia Jetson TX2, the computational complexity of the proposed method was 3.57 times lower than that of the SoA method. In the qualitative assessment, GIFs generated using the proposed method received 1.02 higher overall ratings compared to the SoA method. To the best of our knowledge, this is the first technique that uses LTC to generate artistic media while providing lightweight and high-performance services even on resource-constrained devices.