… a neuro-symbolic approach for video understanding (see Fig. 1). Our key contributions can
be summarized as: 1. Real-time Neuro-Symbolic … of videolanguage models in localizing video …

… , especially over long videos. Instead, this paper innovates a novel neuro-symbolic approach
that … representation that provides formal guarantees to downstream tasks like video search. …

… It is coupled with the search for optimal program cost in the following way: in the outer loop,
we increment the perception threshold ϵp, and in the inner loop, we increment the number of …

… In particular, real-world video environments with numerous types of objects and complex …
propose a hybrid neuro-symbolic AI system that handles scene-graph of real-world video data. …

… The enormous increase in image and video content surveillance … On the other hand, the
research in computer vision has focused … Vekg: Video event knowledge graph to represent video …

… Then, we present a neuro-symbolic prototype that we developed using the DeepProbLog …
-digit event video simulator. The results show the higher ability of our neuro-symbolic approach …

… video evaluation metric that rigorously assesses text-to-video alignment using neuro-symbolic
for… Specification-driven video search via foundation models and formal verification. arXiv …

… From an initial broad search, we refined our selection to 392 candidate papers, which were
further screened for quality, relevance, and availability of a public codebase, resulting in 167 …

… Neuro-Symbolic AI tasks for video and image. Figure 9: Comparison between CLEVRER and
other visual reasoning benchmarks on images and videos. … find chooses what to search for …

… neuro-symbolic can help to integrate both pieces of knowledge and lead to a better understanding
of music genres and improve search/… (image, audio, and video) and described recent …