Searched for: subject%3A%22retrieval%22
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HU, YANAN (author)
In recent years, the expansion of the Internet has brought an explosion of visual information, including social media, medical photographs, and digital history. This massive amount of visual content generation and sharing presents new challenges, especially when searching for similar information in databases —— Content-Based Image Retrieval ...
master thesis 2022
document
Yao, Yuanyuan (author)
Typically, people search images by text: users enter keywords and a search engine returns relevant results. However, this pattern has limitations. An obvious drawback is that when searching in one language, users may miss results labelled in other languages. Moreover, sometimes people know little about the object in the image and thus would not...
master thesis 2022
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Bos, Robert (author), Zheng, Leo (author)
In this report, the analysis and design of a system that extracts keyframes from videos is detailed. The need for such a sub-module stems from the similarity of frames in a video. To aid in reducing the computation time of the content based video search engine, the Keyframe Extraction Module reduces the amount of frames by discarding frames that...
bachelor thesis 2022
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van Oort, Max (author), Hoogeveen, Aron (author)
One of the main problems with Instance-Level Image Retrieval in video data is that for query videos with multiple objects of the same instance, extracting features from keyframes of this query video is time consuming. This thesis aims to solve this problem by implementing a Convolutional Neural Network based approach, which significantly reduces...
bachelor thesis 2022
document
Korevaar, Matthijs (author), Hoogland, Lars (author)
One of the main problems with Instance-level Image Retrieval in video data is that for longer query videos or large amount of image queries, comparing all of the query images to every extracted frame is time-inefficient. This thesis aims to solve this problem by implementing Nearest Neighbour Search (NNS) algorithms and data compression methods,...
bachelor thesis 2022
document
Li, X. (author)
The geo-graphical location at which an image or video was taken is a key piece of multimedia information. Such geo-information has become an indispensable component of systems enabling personalized and context-aware multimedia services. The research reported in this thesis investigates how to automatically derive geo-information from multimedia...
doctoral thesis 2016
Searched for: subject%3A%22retrieval%22
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