Smart frame selection for action recognition

Author: tmia

August undefined, 2024

WebApr 20, 2024 · Frame sampling is a fundamental problem in video action recognition due to the essential redundancy in time and limited computation resources. The existing sampling strategy often employs a fixed frame selection and lacks the flexibility to deal with complex variations in videos. In this paper, we present an explainable, adaptive, and effective ... WebAug 2, 2024 · Action recognition problems have been addressed using deep learning approaches in both image and video domains. Convolutional neural networks (CNNs) have achieved state-of-the-art results in the recent decade. ... Wolf W (1996) Key frame selection by motion analysis. Proc IEEE Int Conf Acoust Speech Signal Process 2:1228–1231

Compressed Video Action Recognition Using Motion Vector

WebWe call the proposed frame selection SMART and we test it in combination with different backbone architectures and on multiple benchmarks (Kinetics, Something-something, UCF101). ... {SMART Frame Selection for Action Recognition}, author={Gowda, Shreyank N and Rohrbach, Marcus and Sevilla-Lara, Laura}, journal={arXiv preprint arXiv:2012.10671 ... WebFor action recognition learning, 2D CNN-based methods are efﬁcient but may yield redundant features due to applying the same 2D convolution kernel to each frame. Recent efforts attempt to capture motion information by establishing inter-frame connections while still suffering the limited temporal receptive ﬁeld or high latency. the picture perfect wedding

[2012.10671v1] SMART Frame Selection for Action …

WebAbout Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators ... WebJan 7, 2024 · We compared it against the state-of-the-art action-recognition-based frame selection methods in the literature including FastForward [10], FrameGlimpse [9], AdaFrame [8], LiteEval [7], and SMART [6] on ActivityNet-1.3 [15]. These methods try to select the most representative key-frames in which the process of learning the key frame selection ... WebDec 19, 2024 · Action recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the accuracy of action recognition. In particular, we … the picture pantry

SMART Frame Selection for Action Recognition Papers With Code

MGSampler: An Explainable Sampling Strategy for Video Action Recognition

WebMay 18, 2024 · The frame selection could be trained to optimize the input for the downstream task as in [12,19] but this would introduce further complexity to controlling … WebAbout AAAI. AAAI Officers and Committees; AAAI Staff; Bylaws of AAAI; AAAI Awards. Fellows Program; Classic Paper Award; Dissertation Award; Distinguished Service Award sick re21-sacWebJan 7, 2024 · This raises the need for an effective frame selection algorithm which can either run independently or can alternatively be plugged into any 2D and 3D action recognition model in either an online or offline scenario. Our Proposal and Contributions: In this paper, we propose a novel two-stage video-to-video summarization method termed … sick re13 sac

"WebAction recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the accuracy of action recognition. In particular, we show that … " - Smart frame selection for action recognition

Smart frame selection for action recognition

WebFeb 21, 2024 · Abstract. Action recognition is an important task for video understanding. Due to expensive time consumption, the conventional approaches employing the optical flow are difficult to be used for real-time purpose. Recently, the Motion Vector (MV), which can be directly extracted from the compressed video, has been introduced for action … WebDec 19, 2024 · In particular, we show that selecting good frames helps in action recognition performance even in the trimmed videos domain. Recent work has successfully leveraged …

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WebNov 28, 2024 · This is the source code of our CVPR 2024 paper: Understanding the Robustness of Skeleton-based Action Recognition under Adversarial Attack. A new … WebFeb 13, 2024 · On the other hand, the computational cost of a proper and accurate human action recognition is high. In this paper, we address the challenges of the preprocessing phase, by an automated selection of representative frames from the input sequences. We extract the key features of the representative frame rather than the entire features.

WebMar 23, 2024 · For action recognition learning, 2D CNN-based methods are efficient but may yield redundant features due to applying the same 2D convolution kernel to each frame. Recent efforts attempt to capture motion information by establishing inter-frame connections while still suffering the limited temporal receptive field or high latency. WebOct 1, 2024 · We showthat the SMART frame selection consistently improves the accuracy compared toother frame selection strategies while reducing the computational cost by a factorof 4 to 10 times.

WebFeb 18, 2024 · Detection of fights is an important surveillance application in videos. Most existing methods use supervised binary action recognition. Since frame-level annotations are very hard to get for anomaly detection, weakly supervised learning using multiple instance learning is widely used. WebDec 19, 2024 · This paper proposes a key frame selection technique in a motion sequence of 2D frames based on gradient of optical flow to select the most important frames which …

WebJul 1, 2024 · Abstract. Human action recognition is one of the most important topics in computer vision. Monitoring elderly people and children, smart surveillance systems and human-computer interaction are a few examples of its applications. sick razor scooter tricksWebNov 1, 2024 · 25. S. N. Gowda, M. Rohrbach, and L. Sevilla-Lara, “ Smart frame selection for action recognition,” in Proceedings of the AAAI Conference on Artificial Intelligence (AAAI Press, 2024), Vol. 35, Issue 2, pp. 1451– 1459. However, existing algorithms are limited to a specific application. These algorithms also incur additional computational ... the picture people tysons corner mallWebJan 8, 2024 · About Press Copyright Contact us Creators Advertise Developers Terms Privacy Policy & Safety How YouTube works Test new features Press Copyright Contact us Creators ... the picture podWebMar 1, 2024 · SMART Frame Selection for Action Recognition. Article. May 2024; ... We show that the SMART frame selection consistently improves the accuracy compared to other frame selection strategies while ... the picture perfect mochi i drew tastes goodWebDec 19, 2024 · Action recognition is computationally expensive. In this paper, we address the problem of frame selection to improve the accuracy of action recognition. In … the picture postWebMost of the videos are captured at approximately 24-30 frames per second, each image is called a frame where you see frames per second (FPS). In our system framerate is 1.0 means it will capture ... the picture plus dictionary second edition sick re23-sac