We introduce InternVideo2, a new family of video foundation models (ViFM) that achieve the
state-of-the-art results in video recognition, video-text tasks, and video-centric dialogue. Our …

Recently, learning from vast unlabeled data, especially self-supervised learning, has been
emerging and attracting widespread attention. Self-supervised learning followed by …

The multi-volume set of LNCS books with volume numbers 15059 up to 15147 constitutes
the refereed proceedings of the 18th European Conference on Computer Vision, ECCV …

The popularity of Short form videos (SFV) has grown dramatically in the past few years, and
has become a phenomenal video category with billions of viewers. Meanwhile, High …

The demand for producing short-form videos for sharing on social media platforms has
experienced significant growth in recent times. Despite notable advancements in the fields …

Endeavors have been made to explore Large Language Models for video analysis (Video-
LLMs), particularly in understanding and interpreting long videos. However, existing Video …

Large Language Models (LLMs) have been widely used in various tasks, motivating us to
develop an LLM-based assistant for videos. Instead of training from scratch, we propose a …

Numerous video frame sampling methodologies detailed in the literature present a
significant challenge in determining the optimal video frame method for Video RAG pattern …

Although computer vision offers ample possibilities, there is currently a lack of general film
measurement software. Here, we propose a software called PyCinemetrics, which is a …

In order to furnish valuable insights and solutions applicable to content creators, social
media platforms, academic research, and general users, this investigation integrates the …