The purpose of this paper is to improve the efficiency of video recognition process and save
computational data. According to the encoding and decoding of video, we can know that not …

In this paper, we propose one online video object classification algorithm using fast
Similarity Network Fusion (SNF). By constructing sample-similarity network for each data …

Existing video recognition algorithms always conduct different training pipelines for inputs
with different frame numbers, which requires repetitive training operations and multiplying …

Video based object recognition and classification has been widely studied in computer
vision and image processing area. One main issue of this task is to develop an effective …

Video classification has been an active research field of computer vision in last few years. Its
main purpose is to produce a label that is relevant to the video given its frames. Unlike …

Video object recognition is an importance topic in both defense and civilian applications.
However, object recognition guarantee is not considered in current video coding standard H …

Video object detection technology can improve the battlefield object search capability of tank
fire control system. However, complex battlefield environment and faster speeds of tank and …

Video streaming-based real-time vehicle identification and license plate recognition systems
are challenging to design and deploy in terms of real-time processing on edge, dealing with …

Classifying sports videos is complex due to their dynamic nature. Traditional methods, like
optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for …

Abstract Vision Transformers (ViTs) are promising for solving video-related tasks, but often
suffer from computational bottlenecks or insufficient temporal information. Recent advances …