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F2S-Net: learning frame-to-segment prediction for online action detection
Online action detection (OAD) aims at predicting action per frame from a streaming untrimmed video in real time. Most existing approaches leverage...
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Towards Frame Rate Agnostic Multi-object Tracking
Multi-object Tracking (MOT) is one of the most fundamental computer vision tasks that contributes to various video analysis applications. Despite the...
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SplatFlow: Learning Multi-frame Optical Flow via Splatting
The occlusion problem remains a crucial challenge in optical flow estimation (OFE). Despite the recent significant progress brought about by deep...
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Frame Analysis
This chapter details the last component of person-oriented framing analysis: frame analysis. The component aims to classify how persons are portrayed...
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Joint frame-level and CTU-level rate control based on constant perceptual quality
For a given network bandwidth, optimizing the rate control to achieve the best compression performance is essential in video communication and...
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FLAVR: flow-free architecture for fast video frame interpolation
Many modern frame interpolation approaches rely on explicit bidirectional optical flows between adjacent frames, thus are sensitive to the accuracy...
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An MSDCNN-LSTM framework for video frame deletion forensics
Frame deletion detection is a challenging task in the field of digital video forensics. This paper proposes a deep-learning-based frame deletion...
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A comparative analysis on major key-frame extraction techniques
Real-time hand gesture recognition involves analyzing static and dynamic gesture videos. Video is a sequential arrangement of images, captured and...
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Debugging Frame Conditions
Frame conditions play an important role in formal specifications of system behavior or software operations. A frame condition specifies that a...
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Color coherence-based scene-change detection for frame rate up-conversion
Existing scene-change detection methods usually use the differences in luminance values between consecutive frames to detect scene changes....
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Multi-frame spatio-temporal super-resolution
Increasing the resolution of digital images and videos using digital super-resolution (SR) techniques has been of great interest in industry and...
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Fast deep learning with tight frame wavelets
The cost function gradient vanishing or exploding problem and slow convergence speed are key issues when training deep neural networks (DNNs). In...
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Moving Object Detection Method Based on the Fusion of Online Moving Window Robust Principal Component Analysis and Frame Difference Method
The accuracy of moving object detection has a great impact on the accuracy of extracting the shape center coordinates of moving workpieces. The...
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Continuity-attenuation captured network for frame deletion detection
Frame deletion detection has played an essential role in digital forensics. The existing literature suggests that detection work is accomplished by...
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Gaussian-based adaptive frame skip** for visual object tracking
Visual object tracking is a basic computer vision problem, which has been greatly developed in recent years. Although the accuracy of object tracking...
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Paf-tracker: a novel pre-frame auxiliary and fusion visual tracker
Siamese-like trackers expose considerable shortcomings in the case of brief occlusion due mainly to the inadequate consideration of the correlation...
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Key frame extraction method with global information balance
Key frame extraction can provide evidence for traffic violation detection, which is essential to support administrative punishment. However, the...
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Dilation-erosion for single-frame supervised temporal action localization
To balance the annotation labor and the granularity of supervision, single-frame annotation has been introduced in temporal action localization. It...
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Multi-frame Motion Segmentation by Combining Two-Frame Results
In this paper we consider the motion segmentation problem on sparse and unstructured datasets involving rigid motions, motivated by multibody...
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Detection and localization of frame duplication using binary image template
Videos are one of the most substantial evidence that can be used to detect incidents. However, videos can be altered easily using current...
