Key frame detection. , Youtube, Hulu) are uploaded online every day.

Key frame detection The number of key frames in a video depends upon the content of the video. Although great progress has been made recently, large-scale video classification remains an Apr 1, 2014 · A complete overview of key frame extraction techniques has been provided. To benefit from it, we first present a deep network design for the keyframe selection, which is able to reliably detect May 15, 2023 · This paper presents a supervised learning scheme that employs key-frame extraction to enhance the performance of pre-trained deep learning models for object detection in surveillance videos. , Youtube, Hulu) are uploaded online every day. The official implementation of "A Bayesian Network for Simultaneous Keyframe and Landmark Detection in Ultrasonic Cine" Outputs a set of frames and csv file that represent the timestamp of the keyframes in the video. To this end Tool for automating common video key-frame extraction, video compression and Image Auto-crop/Image-resize tasks - keplerlab/katna To analyze badminton player actions, we propose a skeleton-based keyframe detection framework for action analysis. Keyframe detection is widely used in video summarization and visual localization due to its computational efficiency and memory optimization compared to analyzing all frames of a video. Feb 13, 2024 · To improve real-time dynamic gesture detection, the author recommended adopting key-frame extraction based on difference between consecutive frames. While it’s unnecessary to implement Pong in CSS, and the CSS Working Group probably hasn’t been contemplating how to make that particular niche task easier, the increasing flexibility and power of CSS reinforce my Feb 12, 2020 · PDF | On Feb 12, 2020, Ujwalla Gawande and others published Deep Learning Approach to Key Frame Detection in Human Action Videos | Find, read and cite all the research you need on ResearchGate Apr 1, 2024 · TipDet is a multi-keyframe motion-aware framework that allows for precise tip detection and localization in real-time 2D B-mode US images despite the spatial indiscernibility challenge. Jul 13, 2021 · 3. The resulting photos are used for automated works (e. Project: Key-Frames Extraction from Video Definition & Main Idea: Key-frame refers to the image frame in the video that represents and summarizes it. - joelibaceta/video-keyframe-detector Key frame extraction is the key technology for video abstraction, which can remove the redundant information in the video and reduce the high computing redundancy between adjacent frames. The color histogram for each of the 3*3 Abstract In this paper we tackle the joint learning problem of keyframe detection and visual odometry towards monoc-ular visual SLAM systems. g. The utilization of features Feb 28, 2025 · This paper presents a simple yet effective algorithm named Adaptive Keyframe Sampling (AKS). We first built a facial keyframe detection model based on ResNet-50, combined with optical flow estimation, which can identify key expression frames in the Detecting representative frames in videos based on human actions is quite challenging because of the combined factors of human pose in action and the background. Journal of Visual Communication and Image Representation 23, 7 (2012), 1031–1040. Summary: Used Color Histogram, SVD and Dynamic Clustering Method to obtain Key-Frames from a video. Apr 26, 2018 · Detecting representative frames in videos based on human actions is quite challenging because of the combined factors of human pose in action and the background. It is a simple python tool to extract key-frames from a video file using peak estimation from frame difference. Jun 3, 2025 · Scene Detection Policies and Keyframe Extraction Strategies for Large-Scale Video Analysis Vasilii Korolkov CEO at Binat, Inc. I am currently working on keyframe extraction from videos. Aug 2, 2021 · Early works on keyframe extraction focused on shot boundary-based techniques [20, 21]. It inserts a plug-and-play module known as keyframe selection, which aims to maximize the useful information with a fixed number of video tokens. Providing a summary of the video is an important task to facilitate quick browsing and content summarization. In this project we use keyframe extraction for video summarization. Comparative evaluations involved six junior sonographers, who assessed both speed and accuracy. we present a large model based sequential keyframe extraction, dubbed LMSKE, to extract minimal keyframes to sum up a given video with their sequences maintained. The object detection-based model for keyframe extraction is a more suitable method for, creating a people-based dataset for various applications like people detection, gender recognition, identity recognition, etc. In ultrasound cine, landmark detection is often associated with identifying keyframes, which represent the occurrence of specific events, such … Apr 19, 2025 · The effectiveness of keyframe selection is crucial for visual simultaneous localization and mapping (SLAM) algorithms. Feb 25, 2023 · Adaptive key frame extraction for video summarization using an aggregation mechanism. As an important task in vi-sual SLAM, keyframe selection helps efficient camera re-localization and effective augmentation of visual odometry. Pre-trained models Apart from endoscopic videos, keyframe extraction is important for other types of videos as well, such as movies, documentaries, sport events, or surveillance. For each iteration, we detect objects on the N s sampled frames using a lightweight model like YOLO-World [6] for high efficiency and score the frames based on detection confidence. 1. As an important task in visual SLAM, keyframe selection helps efficient camera relocalization and effective augmentation of visual odometry. Keyframe detection Keyframe detection can facilitate indexing, classification, and further evaluation of high-dimensional data and has a wide range of applications in both computer vision and medical image analysis. Keyframes, capturing pivotal moments, stand susceptible to temporal variations and intricate anatomical complexities, often entailing a degree of subjectivity in their selection. Feb 24, 2017 · A new algorithm is proposed to detect key frames from a temporal window on the video frames. We present a unified, adaptive framework for automatic scene detection and keyframe selection that handles May 19, 2025 · A Key Frame is a location on a video timeline which marks the beginning or end of a smooth transition throughout the fotograms, Key Frame Detector try to look for the most representative and significant frames that can describe the movement or main events in a video using peakutils peak detection functions. Existing methods predominantly treat landmark and keyframe detection as separate tasks without harnessing their underlying correlations. The output includes the greyscale keyframes in foder “keyFrames”. To overcome these limitations, we propose an Optimal Keyframe Extraction framework utilizing shot boundary detection to Oct 1, 2022 · The task of temporal action detection aims to temporally localize each action instance and classify it. This paper introduces a novel Adaptive Keyframe Selection method with Multi-Source Joint Constraints (MSJCA-KS), which addresses the challenges by exploiting camera geometry, real-time . It leverages the reinforcement learning technique to coordinate the learning between the primary keyframe extraction task and the auxiliary lesion detection and attribute classification tasks. Below Oct 27, 2019 · In this paper we tackle the joint learning problem of keyframe detection and visual odometry towards monocular visual SLAM systems. If frames are described as a Aug 1, 2022 · 2. Improve your video editing and management with automated visual analysis. Contribute to krxat/keyframe-detection development by creating an account on GitHub. Abstract Detecting key frames in videos is a common problem in many applications such as video classification, action recognition and video summarization. A Key Frame is a location on a video timeline which marks the beginning or end of a smooth transition throughout the fotograms, Key Frame Detector try to look for the most representative and significant frames that can describe the movement or main events in a video using peakutils peak detection functions. For videos that are composed of different shots, where a shot is defined as a sequence of frames shot uninterruptedly by the same camera, keyframe detection works quite well Apr 15, 2023 · In addition, current key frame extraction methods for surveillance video suffer from problems such as incomplete target detail extraction and inaccurate local action judgment (Zhang & Yang, 2014). Stability and adaptability of the selection are challenging issues in complex environments. binat. www. A new deep learning-based method has been proposed as an alternative to traditional systems to control free spaces in parking areas monitored by CCTV security cameras. Dec 4, 2020 · Detecting key frames in videos is a common problem in many applications such as video classification, action recognition and video summarization. Nov 4, 2024 · The key frame extraction method can also effectively select the representable frames from a video in the object detection field to process faster. A number of them are not capable of constituting the entire shot. Basically, this technique employs the first or middle frame of each shot as the keyframe after shot boundary detection [22]. , 2022). May 31, 2025 · By incorporating both heuristic and content-based detection methods, and combining them with an efficient, visually guided keyframe selection process, the pipeline serves as a strong foundation for scalable video preprocessing. Based on the frame-level video label, we devise a deep key frame detection in human action videos network that reasons directly on the entire video frames. Jun 15, 2023 · Keyframe detection is a known problem in the research areas of video analysis and summarization, where it is used as a mechanism for generating a short summary of a video [7]. Existing fixed- length segmentation methods for violence detection suffer from computational inefficiency and fragmented short-term event repre- sentation. Jan 1, 2020 · In [22], the author proposed one of the traditional keyframe selection methodologies using motion analysis to detect several keyframes from a given video file. Aug 2, 2022 · Still, keyframe extraction lags to gain more accuracy on determining the crime scene with human detection, thus the spatiotemporal feature extraction approaches the human motion detection phase using the HOG descriptor along with the SVM classifier was reviewed from the existing methods. This will generate an output folder with subfolders that contain images at various scales. In this chapter, an effective algorithm In this work, we introduce a automatic label generation algorithm that learns to discriminate each frame for key frame detection. The extraction of representative key frames from videos is very important in video processing and analysis since it greatly reduces computing resources and time. Jan 1, 2025 · This paper addresses the efficient identification of candidate keyframes in long and untrimmed surveillance videos. Existing key frame detection approaches are mostly designed for supervised learning and require manual labelling of key frames in a Oct 6, 2025 · Get scene, shot, and keyframe detection insights with Azure AI Video Indexer. First, The large model TransNetV2 was utilized to conduct shot Oct 1, 2024 · Keyframe and landmark detection tasks within ultrasound cine exhibit inherent potential for substantial uncertainty (Jafari et al. The running time of the proposed method is less than existing methods due to the introduction of the MS-SSIM method for key frame extraction in violence detection. [22]. A large Nov 1, 2025 · Studies on automated keyframe detection have largely focused on other areas such as fetal ultrasound and breast cancer detection, with little attention given to endometrial evaluation [10], [11]. Developing supervised deep learning models requires a significant amount of annotated video frames as training data, which demands substantial human effort for preparation. Thus, many solutions have been proposed in literature [1]. summarizing security footage, detecting different scenes used in music clips) in different industries May 1, 2013 · Keyframe detection is a fundamental component in approaches for large-scale mapping and scene recognition. This paper addresses this problem and formulates the key frame detection as one of finding the video frames that optimally maximally contribute to differentiating the underlying action category from all other categories. By analyzing only key frames instead of all frames, the recognition speed is improved. As a result of this, there is a need to expand parking management and inspection systems to ensure safe and efficient use of parking areas. Nov 1, 2025 · This study presents the first fully automated and clinically validated system for keyframe detection in TVUS videos to support ET measurement. It has been found out that such techniques usually have three phases, namely shot boundary detection as a pre-processing phase, main phase of key frame detection, where visual, With urbanization and population growth, automobile use has also increased. Features are also considered from different levels of abstraction for the visual stream by performing multi-level feature extraction and fusion. Oct 1, 2024 · In ultrasound cine, landmark detection is often associated with identifying keyframes, which represent the occurrence of specific events, such as measuring target dimensions at specific temporal phases. Key Frame Extraction In existing violent detection approaches, all frames extracted from the video are used for training purposes. The algorithm for key frame extraction will afect the reconstruction of video content. Third, the problem of selecting key frames is weakly supervised as only video-level labels are available while temporal action detection can exploit action class labels as well as temporal boundary annotations of each action instance. These tasks can be performed more efficiently using only a handful of key frames rather than the full video. Video shot boundary detection methods were reviewed by Dey et al. read() isDuplicate = False limit = count if count <= 10 else (coun Aug 22, 2023 · To analyze badminton player actions, we propose a skeleton-based keyframe detection framework for action analysis. Key frames, which encompass Jul 18, 2025 · We also designed a keyframe detection system to assist junior medical staff in identifying frames with the largest ET from the candidate images. These consecutive duplicate frames increase the complexity and computational cost of the model. Mar 1, 2024 · In this work, we introduce a automatic label generation algorithm that learns to discriminate each frame for key frame detection. To benefit from it, we first present a deep network design for the keyframe selection, which is able to Nov 12, 2022 · Video processing and analysis have become an urgent task since a huge amount of videos (e. Jul 1, 2022 · In this regard, efficient approach for abrupt Shot Boundary Detection (SBD) and keyframe extraction has been presented. The proposed method detects abrupt shots by extracting binarized edge information from frames for texture characterisation using Local Binary Pattern (LBP) method. These key frames gives an overview of the video content. These models are an implementation of a TorchModel. By standardizing the image selection process and assisting junior sonographers, EndoUSScan enhances diagnostic efficiency and accuracy, ultimately contributing to improved patient care. The first key-frame sequence is generated by selecting the largest inter-frame difference degree determined between video frames, and by sorting key-frames two times using the time warp method the May 31, 2025 · Robust scene segmentation and keyframe extraction are essential preprocessing steps in video understanding pipelines, supporting tasks such as indexing, summarization, and semantic retrieval. Jun 21, 2023 · Automatic keyframe detection from videos is an exercise in selecting scenes that can best summarize the content for long videos. Aug 13, 2024 · This paper explores a custom 3D CNN model employing a DenseNet architecture with a CBAM and keyframe extraction to detect violent activities in videos. Use this script to get key frames out of a video. However, existing methods often lack generalizability across diverse video types and durations. Oct 18, 2024 · Therefore, we designed a two-stage strategy for humanoid robots based on facial keyframe detection and facial keypoint detection to achieve more natural and smooth expression imitation. The keyframe number is appended to the Apr 26, 2018 · To this end, we introduce a deep two-stream ConvNet for key frame detection in videos that learns to directly predict the location of key frames. Mar 31, 2025 · Collision detection with style queries Interactive CSS animations with elements ricocheting off each other seems more plausible in 2025 and the code is somewhat sensible. The existing algorithms generate relevant key frames, but additionally, they generate a few redundant key frames. Video key-frames extractor This model implements two types of modules: a video frames encoder and the key-frames module. In this work, we introduce a automatic label generation algorithm that learns to discriminate each frame for key frame detection. To this end, this paper proposes a key frame extraction method for surveillance video based on quaternion Fourier transform with multiple feature fusion. Code : while success: success, currentFrame = vidcap. In a normal video sequence, many consecutive frames are duplicated. Existing key frame detection approaches are mostly designed for supervised learning and require manual labelling of key frames in a large Feb 12, 2020 · A key frame is a representative frame which includes the whole facts of the video collection. Accurate landmark detection in medical imaging is essential for quantifying various anatomical structures and assisting in diagnosis and treatment planning. This paper addresses this problem and formulates the key frame detection as one of In this stage, we construct the detection search space by taking the union of both Key Objects and Cue Objects. A two-stream method is presented, that extracts motion and visual features from the video. May 25, 2020 · What is key frame extraction and its uses? Key frame extraction is the process of extracting key frames from a video that differ from each other significantly and encode the highest possible information (best frame) out of all the similar frames in a group. us Aug 1, 2022 · Conclusion In this paper, we proposed a novel keyframe extraction framework bespoke for US videos of breast lesions. These can be selected as shot boundaries if we can detect shots and ignore transitions between them. It is used for indexing, classification, evaluation, and retrieval of video. 2. Assuming that the detection is applied to a set of continuously captured frames, this paper presents a keyframe detector that not only considers the frame content to quantify appearance changes on the sequence, but also the temporal accumulation of evidence. Mar 16, 2023 · In this paper, we propose an unsupervised static video summarization method that extracts keyframes representing the entire video. tkkyc eaawd sethbj jrpuz dwtyhbp kbu ryq bzdujci sucar swgkmd tijwuqaa kjk wuxc clsyx qswka