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 16 of 16 for “"Video retrieval"”.
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Content based video retrieval via spatial-temporal information discovery.
Content based video retrieval (CBVR) has been strongly motivated by a variety of realworld applications. Most state-of-the-art CBVR systems are built based on Bag-of-visual- Words (BovW) framework for visual resources representation and access. The framework, however, ignores spatial and temporal …
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VRAG: Region Attention Graph for Content-Based Video Retrieval
Content-based Video Retrieval (CBVR) is used on media-sharing platforms for applications such as video recommendation and filtering. To manage databases that scale to billions of videos, video-level approaches that use fixed-size embeddings are preferred due to their efficiency. In this paper, we …
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ATOM : a distributed system for video retrieval via ATM networks
… storage technology has led to the development of video-on-demand services to the desktop that provide interactive controls and deliver Client-selected video information on a Client-specified schedule. This dissertation presents the design of a video-on-demand system for Asynchronous Transfer Mode …
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A DOMAIN-CENTRIC APPROACH TO DESIGNING USER INTERFACES OF VIDEO RETRIEVAL SYSTEMS
User- and task-centric efforts in video information retrieval (IR) research are needed because current experiments are showing few significant results. It is our belief that unsatisfactory results in video IR can be partially attributed to the overemphasis on technologically-driven approaches to …
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Graphical Models for Video Understanding
… apply to the variety of tasks ranging from video clustering and stabilization, to video retrieval and building of the similarity measures between the distributions.
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Neural attentions for natural language understanding and modeling
… we propose the use of a self-attention CNN for video question answering. The performance of this model is significantly higher than the baseline video retrieval engine. Finally, we also investigate an end-to-end co-reference resolution model by applying cross-sentence attentions to utilize …
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Competitive prefetching and buffer management for parallel I/O systems
… applied to the problems of external sorting and video retrieval. Finally the problem of designing prefetching and buffer management algorithms for read-many reference strings is examined. An algorithm which uses randomized write-back to attain good expected I/O performance is presented.
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Reasoning Across Language and Vision in Machines and Humans
… sentential descriptions of events depicted in videos. I then show how to simultaneously detect and track objects, recognize events, and produce sentences. This tighter integration of language and vision enables a novel task: sentential video retrieval. A video corpus can be searched for clips …
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Characterization of unstructured video
In this work, we examine video retrieval from a synthesis perspective in co-operation with the more common analysis perspective. Specifically, we target our algorithms for one particular domain- unstructured video material. The goal is to make this unstructured video available for manipulation in …
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Video Indexing and Retrieval Techniques Using Novel Approaches to Video Segmentation, Characterization, and Similarity Matching
… developed in the context 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, …
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Robust Number Plate Detection Algorithms
… Character Detection, Text Detection, and Image/Video Retrieval
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Video Scene Understanding: Semantic-based representation, Temporal Variation Modeling, Multi-Task Learning
… research topics in computer vision is automatic video scene understanding where the ultimate goal is to build artificial intelligence systems comparable with humans in understanding video contents. Automatic video scene understanding covers many applications including (i) semantic functional …
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Object detection and activity recognition in digital image and video libraries
… a comprehensive study of object-based image and video retrieval, specifically for car and human detection and activity recognition purposes. The thesis focuses on the problem of connecting low level features to high level semantics by developing relational object and activity presentations. With …
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Efficient Image and Video Representations for Retrieval
Image (Video) retrieval is an interesting problem of retrieving images (videos) similar to the query. Images (Videos) are represented in an input (feature) space and similar images (videos) are obtained by finding nearest neighbors in the input representation space. Numerous input representations …
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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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VideoTag: encouraging the effective tagging of internet videos through tagging games
The tags and descriptions entered by video owners in video sharing sites are typically inadequate for retrieval purposes, yet the majority of video search still uses this text. This problem is escalating due to the ease with which users can self-publish videos, generating masses that are poorly …