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Widgets for a Mobile Application of Intelligent Home Control
Mlynarič, Tomáš ; Korček, Pavol (referee) ; Žádník, Martin (advisor)
This thesis deals with development of widgets designed for intelligent home control in the environment of Android operation system. The intelligent home control is a framework developed at FIT BUT. The thesis introduces the framework and explains principals of developing widgets. The practical part discusses design and implementation of the specific widgets. The implementation is evaluated and the results are discussed. The concluding section provides summary and suggests future improvements.
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Deep Neural Networks for Classifying Objects in an Image
Mlynarič, Tomáš ; Zemčík, Pavel (referee) ; Hradiš, Michal (advisor)
This paper deals with classifying objects using deep neural networks. Whole scene segmentation was used as main algorithm for the classification purpose which works with video sequences and obtains information between two video frames. Optical flow was used for getting information from the video frames, based on which features maps of a~neural network are warped. Two neural network architectures were adjusted to work with videos and experimented with. Results of the experiments show, that using videos for image segmentation improves accuracy (IoU) compared to the same architecture working with images.
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Deep Neural Networks for Classifying Objects in an Image
Mlynarič, Tomáš ; Zemčík, Pavel (referee) ; Hradiš, Michal (advisor)
This paper deals with classifying objects using deep neural networks. Whole scene segmentation was used as main algorithm for the classification purpose which works with video sequences and obtains information between two video frames. Optical flow was used for getting information from the video frames, based on which features maps of a~neural network are warped. Two neural network architectures were adjusted to work with videos and experimented with. Results of the experiments show, that using videos for image segmentation improves accuracy (IoU) compared to the same architecture working with images.
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Widgets for a Mobile Application of Intelligent Home Control
Mlynarič, Tomáš ; Korček, Pavol (referee) ; Žádník, Martin (advisor)
This thesis deals with development of widgets designed for intelligent home control in the environment of Android operation system. The intelligent home control is a framework developed at FIT BUT. The thesis introduces the framework and explains principals of developing widgets. The practical part discusses design and implementation of the specific widgets. The implementation is evaluated and the results are discussed. The concluding section provides summary and suggests future improvements.
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