|
|
Automatic Selection of Representative Pictures
Bartoš, Peter ; Svoboda, Pavel (referee) ; Polok, Lukáš (advisor)
There are billions of photos on the internet and as the size of these digital repositories grows, finding target picture becomes more and more difficult. To increase the informational quality of photo albums we propose a new method that selects representative pictures from a group of photographs using computer vision algorithms. The aim of this study is to analyze the issues about image features, image similarity, object clustering and examine the specific characteristics of photographs. Tests show that there is no universal image descriptor that can easily simulate the process of clustering performed by human vision. The thesis proposes a hybrid algorithm that combines the advantages of selected features together using a specialized multiple-step clustering algorithm. The key idea of the process is that the frequently photographed objects are more likely to be representative. Thus, with a random selection from the largest photo clusters certain representative photos are obtained. This selection is further enhanced on the basis of optimization, where photos with better photographic properties are being preferred.
|
|
|
HW Acceleration of Network Unix Tools
Bartoš, Peter ; Martínek, Tomáš (referee) ; Kořenek, Jan (advisor)
In the world, there always appear faster technologies for network communication. Some network tools are not capable of working in high-speed, they are overloading system, therefore they are not able to fulfill their functions. They can not fully monitor the whole traffic and ensure secured services. Thesis analyses network tools, their operations and researches critical spaces for future hardware acceleration. In this context, it introduces effective hardware programming platforms. Using measurements, it evaluates the limits of the tools and mentions the possibilities of acceleration, which are suggested for another thesis.
|
|
|
Study of Creating a Logistics Concept in a Selected Company
Bobotová, Michaela ; Bartoš, Peter (referee) ; Jurová, Marie (advisor)
The diploma thesis discusses the study of creation of new logistics conception and its proposal for the company, Schaeffler Skalica, spol. s r. o., which is engaged in the production of bearings and components for the automotive industry. The proposal of the new logistics conception relates to the stocks of Schaeffler Skalica, spol. s r. o., which are stored in the consignment warehouse in Germany and are supplied by Chinese supplier.
|
|
|
Android Application with Content Based Image Retrieval
Ligač, Filip ; Angelov, Michael (referee) ; Bartoš, Peter (advisor)
This thesis deals with the development on the mobile platform Android and algorithms for comparing images. The work identifies different ways of getting information and representation of these images and comparing them together. The theoretical part describes all necessary tools which are needed for development and a little description of their functionality. The practical part is devoted to describing the implementation of the application which detects hockey cards according to the photo taken by user. This part also contains testing results with evaluating success of each method for detection and their usefulness on mobile platform. In the conclusion there is a review of overall results and possible upgrades of the application.
|
|
| |
|
|
Study of Creating a Logistics Concept in a Selected Company
Bobotová, Michaela ; Bartoš, Peter (referee) ; Jurová, Marie (advisor)
The diploma thesis discusses the study of creation of new logistics conception and its proposal for the company, Schaeffler Skalica, spol. s r. o., which is engaged in the production of bearings and components for the automotive industry. The proposal of the new logistics conception relates to the stocks of Schaeffler Skalica, spol. s r. o., which are stored in the consignment warehouse in Germany and are supplied by Chinese supplier.
|
|
| |
|
|
Android Application with Content Based Image Retrieval
Ligač, Filip ; Angelov, Michael (referee) ; Bartoš, Peter (advisor)
This thesis deals with the development on the mobile platform Android and algorithms for comparing images. The work identifies different ways of getting information and representation of these images and comparing them together. The theoretical part describes all necessary tools which are needed for development and a little description of their functionality. The practical part is devoted to describing the implementation of the application which detects hockey cards according to the photo taken by user. This part also contains testing results with evaluating success of each method for detection and their usefulness on mobile platform. In the conclusion there is a review of overall results and possible upgrades of the application.
|
|
|
HW Acceleration of Network Unix Tools
Bartoš, Peter ; Martínek, Tomáš (referee) ; Kořenek, Jan (advisor)
In the world, there always appear faster technologies for network communication. Some network tools are not capable of working in high-speed, they are overloading system, therefore they are not able to fulfill their functions. They can not fully monitor the whole traffic and ensure secured services. Thesis analyses network tools, their operations and researches critical spaces for future hardware acceleration. In this context, it introduces effective hardware programming platforms. Using measurements, it evaluates the limits of the tools and mentions the possibilities of acceleration, which are suggested for another thesis.
|
|
|
Automatic Selection of Representative Pictures
Bartoš, Peter ; Svoboda, Pavel (referee) ; Polok, Lukáš (advisor)
There are billions of photos on the internet and as the size of these digital repositories grows, finding target picture becomes more and more difficult. To increase the informational quality of photo albums we propose a new method that selects representative pictures from a group of photographs using computer vision algorithms. The aim of this study is to analyze the issues about image features, image similarity, object clustering and examine the specific characteristics of photographs. Tests show that there is no universal image descriptor that can easily simulate the process of clustering performed by human vision. The thesis proposes a hybrid algorithm that combines the advantages of selected features together using a specialized multiple-step clustering algorithm. The key idea of the process is that the frequently photographed objects are more likely to be representative. Thus, with a random selection from the largest photo clusters certain representative photos are obtained. This selection is further enhanced on the basis of optimization, where photos with better photographic properties are being preferred.
|
guest ::
RSS feed.