LINK >>> https://byltly.com/2sMMhS
in this work, we mainly focus on multidimensional analysis of video content, though in sect. 4.4, this work is extended to the analysis of acoustic signals. for a video stream s=s(1),..,s(s), of s shots, with dimensions d i , a kth order mode tensor t is defined as follows:as has been stated before, the model is updated every fds (c (t+1) k ,r k ,s (t) k ) in ( 20 ), as well as after the shot detection. finally, in the next section, we discuss both the modeling and detection stages in details. for modeling, we follow the standard assumptions used in this paper for analysis of video content. namely, for each kth order tensor, we assume that each shot is modeled by a kth order tensor. if it is not the case, we are interested in detecting the kth shot.as already mentioned, the method was tested with the user-annotated database of the vsumm method by de avila et al. [ 2, 22 ], and compared to the results obtained with other methods such as ov [ 37 ], dt [ 38 ], stimo [ 16 ], as well as vscan by mahmoud et al. [ 35 ]. table 2 contains averaged f values of the obtained results of these methods and the tensor method proposed in this paper. the former was obtained from the webpage [ 23 ]. for both the color and monochrome videos, respectively, the same parameters were used as follows: w=13, a=2.0, b=1.0 =0.97, and g=9, and the initial rank values were r 1=0.1, r 2=0.1, and r 3=1.0 (only for color) times each dimension of each tensor frame. thus, for a frame of 3522403, this sets the initial maximal ranks to 35243, respectively. however, as already mentioned, these are then adapted in the runtime to the current signal conditions based on the automatic rank selection method. detailed values obtained for each of the test frames, for both the color and monochrome versions, are available from the internet. footnote 2
98329e995e
https://open.firstory.me/story/cldpgjeke0sfx01tjem1l610i https://open.firstory.me/story/cldpgjeke0sfx01tjem1l610i https://open.firstory.me/story/cldpgl96b0fku01t4gb6jb5rl https://open.firstory.me/story/cldpgjeke0sfx01tjem1l610i https://open.firstory.me/story/cldpgit9e0fkq01t41hwfc1dn