Search Results for author:
Found 9 papers, 7 papers with code
FRC-GIF: Frame Ranking-based Personalized Artistic Media Generation Method for Resource Constrained Devices
Generating video highlights in the form of animated graphics interchange formats (GIFs) has significantly simplified the process of video browsing.
FISTNet: FusIon of STyle-path generative Networks for Facial Style Transfer
In this paper, we propose a FusIon of STyles (FIST) network for facial images that leverages pre-trained multipath style transfer networks to eliminate the problem associated with lack of huge data volume in the training phase along with the fusion of multiple styles at the output.
ChatGPT in the Age of Generative AI and Large Language Models: A Concise Survey
We also lay out essential foundational literature on LLMs and GAI in general and their connection with ChatGPT.
Client-driven Lightweight Method to Generate Artistic Media for Feature-length Sports Videos
This paper proposes a lightweight methodology to attract users and increase views of videos through personalized artistic media i. e., static thumbnails and animated Graphics Interchange Format (GIF) images.
LTC-GIF: Attracting More Clicks on Feature-length Sports Videos
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.
LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN
This framework generates a personalized keyshot summary for concurrent users by using the computational resource of the end-user device.
Urdu text in natural scene images: a new dataset and preliminary text detection
To the best of our knowledge, the work is the first of its kind for the Urdu language and would provide a good dataset for free research use and serve as a baseline performance on the task of Urdu text extraction.
Client-driven Animated GIF Generation Framework Using an Acoustic Feature
The proposed method retrieves and uses the audio file and video segment so that communication and storage efficiencies are improved in the GIF generation process.
EdgeNet: A novel approach for Arabic numeral classification
Moreover, a novel deep model has been proposed to exploit diverse data samples of unified dataset.
