Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 13 of 13 for “"video classification"”.
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Efficient and Effective Solutions for Video Classification
… forward towards teaching computers to understand videos in a similar way as humans do. In this work we tackle the video classification and/or action recognition tasks. This thesis was completed in a period of transition, the research community moving from traditional approaches (such as …
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Deep neural networks for video classification in ecology
Analyzing large volumes of video data is a challenging and time-consuming task. Automating this process would very valuable, especially in ecological research where massive amounts of video can be used to unlock new avenues of ecological research into the behaviour of animals in their environments. …
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Encoder-Agnostic Learned Temporal Matching for Video Classification
In recent years, large transformer-based video encoder models have greatly advanced stateof-the-art performance on video classification tasks. However, these large models typically process videos by averaging embedding outputs from multiple clips over time to produce fixed-length representations. …
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Topic-Based Video Classification and Retrieval Using Machine Learning
… primarily concentrate on object detection, image classification, and image captioning. However, very little work has been shown in DL-based video-content analysis and retrieval. Due to the complex nature of time relevant information in a sequence of video frames, understanding video contents is …
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Multiscale Dynamic Time and Space Warping
… and Space Warping (DTSW) is a technique used in video matching applications to find the optimal alignment between two videos. Because DTSW requires O(N4) time and space complexity, it is only suitable for short and coarse resolution videos. In this thesis, we introduce Multiscale DTSW: a …
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Building a Dataset and Developing a Video Event Classifier for Football
… of duels, saves, fouls, stoppages, and restarts. Video classification, a well-established computer vision tool for identifying events in video clips, can be used in applications where tracking data alone fails to retell the game in its entirety. In this paper, we develop an end-to-end video …
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Characterizing Audio Events for Video Soundtrack Analysis
There is an entire emerging ecosystem of amateur video recordings on the internet today, in addition to the abundance of more professionally produced content. The ability to automatically scan and evaluate the content of these recordings would be very useful for search and indexing, especially as …
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Deep learning of visual features with limited supervision.
… leverage large amounts of unlabeled image and video data. Third, we develop an active learning (AL) algorithm that iteratively selects the most informative samples for annotation to optimize learning with minimal supervision. On selective pre-training, we achieve 77% accuracy on imbalanced …
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Images in motion?: a first look into video leakage in federated learning
… image, text, and tabular data, their effect on video data remains an unexamined area of research. This paper presents the first analysis of video data leakage in FL via gradient inversion attacks. We evaluate two common video classification approaches: one employing pre-trained feature …
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Human action recognition with 3D convolutional neural networks
… network (NN) algorithm to facilitate image classification. Recently, CNNs have been demonstrated to provide superior performance across numerous image classification databases including large natural images (Krizhevsky et al., 2012). Furthermore, CNNs are more readily transferable between …
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Machine Learning Methods for functional Near Infrared Spectroscopy
… of the fNIRS data, thus treating it similar to a video classification problem. We show that this method improves upon the accuracy previously obtained by valence classification methods using EEG or fNIRS devices. Finally, we apply the above model to a problem in classifying combined task-load and …
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A Fuzzy Logic-Based System for Soccer Video Scenes Classification
Massive global video surveillance worldwide captures data but lacks detailed activity information to flag events of interest, while the human burden of monitoring video footage is untenable. Artificial intelligence (AI) can be applied to raw video footage to identify and extract required …
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Nástroj pro sběr a zpracování sportovních videí
Cílem této práce je vytvořit nástroj v jazyce Python pro získávání videí na určitou sportovní tematiku z YouTube a jejich úpravu do formy potřebné např. pro učení neuronových sítí. Videa jsou rozdělena na jednotlivé klipy pomocí proprietární metody porovnávání dvou snímků okolo podezřelého snímku. …