Object recognition is one of the basic and challenging problems of computer vision. With the widespread use of RGB-D sensors such as Microsoft Kinect, which provides rich geometric structured depth data along with RGB ...

Since mobile devices are increasingly on hand today, users have become more heavily involved with their use in accessing the Internet. Today, most mobile devices use the Android operating system. On mobile devices, users' ...

Because of the inflection of many word forms from the same root in agglutinative languages such as Turkish, modeling the words as a whole causes sparsity problem. Therefore, rather than handling the word as a whole, ...

Processing instructions is significant to accomplish daily tasks. Instructions can be found in many different forms for a variety tasks. Machine understanding of instructions, similarly, can be beneficial for artificial ...

Emotion analysis means to automatic determination of the emotions in any digital content. It has become a necessity to distill and evaluate with emotion analysis the big data that emerged as a result of the dizzying ...

The main problem focused in this thesis is inferring the group activity information from still images and classifying them. Activity information is often meaningful when analyzed based on the timeline. This is one of the ...

Automatic video summarization is a technique that allows us to easily understand and analyze large amount of visual data. Methods in the literature do this by dividing the video into certain parts and assigning a significance ...