Re-ranking is a task of refining an initially ranked list of images obtained from an image
retrieval technique for a given query image, with the goal of enhancing retrieval performance …

Multimedia data encompasses various modalities, including audio, visual, and text,
necessitating the development of robust retrieval methods capable of harnessing these …

The proliferation of multimedia data sources including text, images, videos, etc., driven by
the extensive usage of social media and smart devices, highlights a significant need for real …

This paper addresses the challenge of efficiently retrieving surgical videos from large
databases for computer vision enhancement in medical diagnosis. The exponential growth …

In view of the uncertainty and diversity of the metabolic grey prediction model in the
prediction process, resulting in poor prediction effect, a metabolic grey prediction model …

Data support is already driving the development of artificial intelligence. But it cannot solve
the semantic problem of artificial intelligence. This requires improving the semantic …

The exponential growth of data derived from the Internet exceeds the social networks
plateforms such as Facebook, Twitter and so on. This data includes a wide range of sensor …

The traditional teaching model is teacher centered, with conservative textbooks and
methods. To some extent, multimedia information retrieval technology can provide relevant …

The proliferation of multimedia data sources including text, images, videos, etc., driven by
the extensive usage of social media and smart devices, highlights a significant need for real …

In today's world, mining data from videos plays a significant role in the process of information
retrieval. The generation of information pertaining to moving images is straightforward for …