FRC-GIF: Frame Ranking-based Personalized Artistic Media Generation Method for Resource Constrained Devices

MUJTABA, Ghulam, KHOWAJA, Sunder Ali, JARWAR, Aslam, CHOI, Jaehyuk and RYU, Eun-Seok (2023). FRC-GIF: Frame Ranking-based Personalized Artistic Media Generation Method for Resource Constrained Devices. IEEE Transactions on Big Data.

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Generating video highlights in the form of animated graphics interchange formats (GIFs) has significantly simplified the process of video browsing. Animated GIFs have paved the way for applications concerning streaming platforms and emerging technologies. Existing studies have led to large computational complexity without considering user personalization. This paper proposes lightweight method to attract users and increase views of videos through personalized artistic media, i.e., static thumbnails and animated GIF generation. The proposed method analyzes lightweight thumbnail containers (LTC) using the computational resources of the client device to recognize personalized events from feature-length sports videos. Next, the thumbnails are then ranked through the frame rank pooling method for their selection. Subsequently, the proposed method processes small video segments rather than considering the whole video for generating artistic media. This makes our approach more computationally efficient compared to existing methods that use the entire video data; thus, the proposed method complies with sustainable development goals. Furthermore, 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. Experiments reveal that the computational complexity of our method is 3.73 times lower than that of the state-of-the-art method.

Item Type: Article
Uncontrolled Keywords: 08 Information and Computing Sciences; 46 Information and computing sciences
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SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 16 Nov 2023 13:56
Last Modified: 05 Dec 2023 17:45

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