Search Results - The Visual Computer

Ibh, M., Grasshof, S., Witzner, D., Madeleine, P.

Ma, W., Liu, Y., Yi, Q., Liu, X., Xing, W., Zhao, R., Liu, H., Li, R.

Duluard, P., Li, X., Plantevit, M., Robardet, C., Vuillemot, R.

Fujita, R. A., Santos, D. P. R., Barbosa, R. N., Palucci Vieira, L. H., Santiago, P. R. P., Zagatto, A. M., Gomes, M. M “…In the first task, the athletes analyzed audio and video files of the forehand movement on a computer screen with auditory, visual, and combined information and, as soon as possible, chose the ball spin type on a keyboard: fast (spinning ball forward at 140 rotations per second (rotations/s); medium (105 rotations/s); slow (84 rotations/s); or flat hit (70 rotations/s). …”

Hornikova, H., Skala, F., Zemkova, E.

Bosi, S. “…Thanks to the great advances in computer vision and deep learning, it is nowadays possible to help manual annotators by means of automatic or semi-automatic multimedia analysis techniques. …”

Wang, J., Wu, J., Cao, A., Zhou, Z., Zhang, H., Wu, Y. “…IEEE Transactions on visualization and computer graphics…”

Wu, E., Piekenbrock, M., Nakumura, T., Koike, H. “…IEEE Transactions on visualization and computer graphics…”

Ye, S., Chen, Z., Chu, X., Wang, Y., Fu, S., Shen, L., Zhou, K., Wu, Y. “…IEEE Transactions on visualization and computer graphics…”

Martin, P. E., Benois-Pineau, J., Péteri, R., Morlier, J. “…Human action recognition in video is one of the key problems in visual data interpretation. Despite intensive research, the recognition of actions with low inter-class variability remains a challenge. …”

Jaworski, J., Lech, G., Ambrozy, T., Zak, M. “…The scope of the study included basic somatic features and selected coordination motor abilities measured by means of computer tests. Results: Statistically significant differences between badminton players and judokas were obtained for reaction times (visual, auditory and selective) as well as spatial orientation. …”

Hayashi, I., Irie, H., Maeda, T., Fujii, M., Tasaka, T. “…The Topographic Attentive Mapping (TAM) network is a biologically-inspired classifier that bears similarities to the human visual system. When used in a TAM network, the proposed pruning algorithm improves classification accuracy and allows extracting knowledge as represented by the network structure. …”

Hülsdünker, T., Ostermann, M., Mierau, A. “…The importance of visuomotor reactions in sports is inevitable; however, its assessment using computer-based tests raises the question, if results are transferable to sport-specific situations. …”

Oshita, M., Inao, T., Ineno, S., Mukai, T., Kuriyama, S. “…The Visual Computer…”

Wang, J., Zhao, K., Deng, D., Cao. A., Xie, X., Zhou, Z., Zhang, H., Wu, Y. “…IEEE Transactions on visualization and computer graphics…”

Hsu, T.-H., Chen, C.-H., Ju. N. P., Ik, T. U., Peng, W.-C., Wang, C.-C., Wang, Y.-S., Lin, Y.-H., Tseng, Y.-C., Huang, J.-L., Ching, Y.-T. Subjects: “…visualization…”

Andres, A., Álvarez Dacal, F. F., de Carvalho, D. “…By the fast nature of badminton, some authors have developed behavioral tasks in order to evaluate anticipation in this sport or in visual tasks using badminton videos or images. The aim of the work reported here is to: 1) compare the accuracy and reaction time of young competitive players in the training of real shuttlecock returns for three ability levels of young recreational players and 2) compare players` responses to a real-execution badminton task with a video snapshot task using a computer. …”

Hagemann, N., Strauß, B. “…Badmintonbundesliga (n = 20), Bezirksliga (n = 23) und Novizen (n = 20) hatten die Aufgabe, an einem Computer die Schlagrichtungen von 168 Badmintonschlägen vorherzusagen. …”

Wu, Y., Lan, J., Shu, X., Ji, C., Zhao, K., Wang, J., Zhang, H. “…IEEE Transactions on visualization and computer graphics…”

Li, X., Chen, L., Yang, Z., Wang, H. “…In the paper, based on the visual background extraction (ViBe) algorithm, we presented a new method to deal with all problems. …”