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Americas, Special Report, Politics - AAinnonna - 06-16-2022
Their ubiquitous adoption and prevalence have increased the demand for methods that can automatically generate personalized static artistic media from feature-length videos. Nowadays, some popular video streaming sites are investigating server-side solutions to automatically generate personalized artistic media. There are four key concerns when it comes to server-based solutions: (i) due to finite computing capabilities personalized artistic media may not be simultaneously generated in a timely manner for multiple users, (ii) consumer privacy is prone to invasions in a personalized approach, (iii) user behavior should be overseen with recommendation algorithms, (iv) the fact that the current solution processes the entire video (frames) to generate GIFs increases the overall computational duration and requires significant computational resources. As personalization is one of the key elements for early media content adoption, we focused on the personalization and lightweight processing aspects of artistic media generation. Figure 2 shows a general overview and comparison of the traditional and proposed methods. With the observation above in mind, we propose an innovative computationally efficient client-driven method that can generate personalized artistic media simultaneously for multiple users.
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