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 20 of 20 for “"Video segmentation"”.
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Adaptive video segmentation
The efficiency of a video indexing technique depends on the efficiency of the video segmentation algorithm which is a fundamental step in video indexing. Video segmentation is a process of splitting up a video sequence into its constituent scenes. This work focuses on the problem of video …
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Object understanding in generalized video segmentation
… object representation is a key component in video understanding and is important for tasks like generalized video segmentation. Current methods often fail to represent objects spatio-temporally, by failing to capture the motion and interactions of objects over time, leading to identity …
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Image and video segmentation using graph cuts
Includes abstract. Includes bibliographical references (leaves 67-71).
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Semantic amodal video segmentation using a synthetic dataset
… for a new semantic modal instance-level object segmentation dataset. This new dataset provides ample opportunities to train models for instance-level segmentation, both modal and amodal. Moreover, in this work, we also present results for instance-level segmentation using ResNet-based DeepLab, a …
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A Unified Multiscale Encoder-Decoder Transformer for Video Segmentation
… multiscale encoder-decoder transformer for dense video estimation, with a focus on segmentation. We investigate this direction by exploring unified multiscale processing throughout the processing pipeline of feature encoding, context encoding and object decoding in an encoder-decoder model. …
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Unsupervised video segmentation and its application to activity recognition
… the fundamental problem of computer vision: segmentation and recognition, in the space-time domain. With the knowledge that generic image segmentation introduces unstable regions due to illumination, com- pression, etc., we utilized temporal information to achieve consistent 3D video …
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Intelligent Rotoscoping: A Semi-Automated Interactive Boundary Tracking Approach to Video Segmentation
<p>Video segmentation is an application of computer vision aimed at automating the extraction of an object from a series of video frames. However, it is a difficult problem, especially to compute at real-time, interactive rates. Although general application to video is difficult because of the wide …
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Video Indexing and Retrieval Techniques Using Novel Approaches to Video Segmentation, Characterization, and Similarity Matching
… of image indexing and retrieval; meanwhile video retrieval systems start to gain wide attention, This work proposes a number of techniques constituting a fully content-based system for retrieving video data. These techniques are primarily targeting the efficiency, reliability, scalability, …
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The Detection and Characterization of Severe Features in Colonoscopy Videos Using Combined Segmentation and Classification Models
… artifacts, very few groups have studied image or video segmentation for colonoscopy videos, and the existing deep learning systems showed low transparency and traceability. We propose a feature-based model that breaks down the problem into smaller components and combines segmentation and …
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Towards Comprehensive Visual Understanding via Deep Neural Networks
… Domain Adaptation (UDA), Exemplar-guided Video Segmentation (EVS), Video Instance Segmentation (VIS), Video Semantic Segmentation (VSS), Video Panoptic Segmentation (VPS), and Human-Object Interaction Detection (HOI Detection).
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Content-based Digital Video Processing. Digital Videos Segmentation, Retrieval and Interpretation.
Recent research approaches in semantics based video content analysis require shot boundary detection as the first step to divide video sequences into sections. Furthermore, with the advances in networking and computing capability, efficient retrieval of multimedia data has become an important …
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Digital video moving object segmentation using tensor voting: A non-causal, accurate approach
Motion based video segmentation is important in many video processing applications such as MPEG4. This thesis presents an exhaustive, non-causal method to estimate boundaries between moving objects in a video clip. It make use of tensor voting principles. The tensor voting is adapted to allow image …
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Evaluation of Speech And Text-Based Indexing For Classroom Lecture Videos
Lecture videos are useful and great learning resources. At the University of Houston, videos are widely used throughout departments within the College of Natural Sciences and Mathematics such as Computer Science, Biology and Biochemistry, Earth and Atmospheric Sciences, etc. Since most videos are …
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Containerless measurement and thermodynamic prediction of the physical properties of liquid steels
… pendant drop geometry, high-speed camera, and video segmentation was developed for simultaneous, containerless, high-throughput measurement of the physical properties of liquid steel samples. The central atom model, a multicomponent solution model, is extended to investigate the statistical …
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Efficient inference and learning for computer vision labelling problems
… computer vision moves towards the era of large videos and gigapixel images, computational efficiency is becoming increasingly important. We present two novel methods to improve the efficiency of energy minimization algorithms. The first method works by "recycling" results from previous problem …
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Isotropy criteria and algorithms for data clustering
… tasks. We also apply our algorithms to image and video segmentation.
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Image and video object selection
"Image and video object selection present fundamental research problems in the computer vision field and have many practical applications. They are important technologies in image and video editing, film production, robotics and autonomous driving etc. Previous methods have serious limitations for …
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Video Content Extraction: Scene Segmentation, Linking And Attention Detection
In this fast paced digital age, a vast amount of videos are produced every day, such as movies, TV programs, personal home videos, surveillance video, etc. This places a high demand for effective video data analysis and management techniques. In this dissertation, we have developed new techniques …
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Towards holistic scene understanding from monocular video
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-08-01