Browsing by Subject "Video clips"
Now showing 1 - 2 of 2
Results Per Page
Sort Options
Item Open Access The effects of viewing pre-selected video clips on low-level Turkish EFL learners’ use of speech acts(Bilkent University, 2017-05) Alver-Yücel, ÖznurThis study aimed to investigate the effects of video clips on low-level Turkish EFL learners’ pragmatic competence in using speech acts. The pre-test in a DCT format was administered in low-intermediate level classes at the Department of Basic English (DBE) at Middle East Technical University (METU) in Turkey. After the analysis of it, the speech acts in which the participants had difficulty in using were determined to be explicitly taught. The treatment sessions included the tasks during which the participants watched the video clips and discussed the relationship between the characters. Then, some other appropriate structures were covered to improve the participants’ pragmatic competence in speech acts. The analysis of the DCT items in the mid-test revealed that participants formed more appropriate responses in the post-test. Four weeks later, a post-test which included DCT items was administered. The participants were able to write mostly appropriate responses in the post-test, which also revealed the effectiveness of the integration of the video clips while teaching English speech act to low level Turkish EFL learners. The semi-structured interviews with the teachers also indicated the importance of instruction while teaching speech acts. The findings related to the perception questionnaire revealed the importance of providing input via the use of video clips which offer conceptualized input and facilitate learning by having students get more motivated and pay attention during treatment sessions for a longer period. The analysis of the index cards showed that watching videos outside the class can contribute to learning speech acts to some extent because the participants who did not watch videos a lot outside the class performed well because of the treatment sessions.Item Open Access Motion vector based features for content based video copy detection(IEEE, 2010) Taşdemir, K.; Çetin, A. EnisIn this article, we propose a motion vector based feature set for Content Based Copy Detection (CBCD) of video clips. Motion vectors of image frames are one of the signatures of a given video. However, they are not descriptive enough when consecutive image frames are used because most vectors are too small. To overcome this problem we calculate motion vectors in a lower frame rate than the actual frame rate of the video. As a result we obtain longer vectors which form a robust parameter set representing a given video. Experimental results are presented. © 2010 IEEE.