With the development of information technology, multimedia has become a common information storage technology. The original information query technology has been difficult to adapt to the development of this new technology, so in order to be able to retrieve useful information in a large amount of multimedia information which has become a hot topic in the development of search technology, this paper takes the image in the multimedia information storage technology as the research object, uses the wavelet transform to divide the picture into the advantages of the low-frequency and high-frequency characteristics, and establishes the multimedia processing technology model based on the wavelet transform. The simulation results of face, vehicle, building, and landscape images show that different wavelet basis functions and different layers of images are decomposed, and the retrieval results and retrieval speed of images are different, When taking four layers of wavelet decomposition, the cubic b-spline wavelet as the wavelet basis function makes the classification result optimal, and the accuracy rate is 89.08%.
Digital technology has revolutionized the way we make and experience art today. As technology has been advanced, people are well acquainted with a variety of techniques for video display of visual imagery. People expect the light to be able to paint images that are as much as they can be to the dream world. Lately new media artist create an illusion of being mapping on surface of objects, structures, buildings and displayed in public spaces. A new trend of video mapping technology allow for interactive projection mapping. This study is focused on research on media arts using projection mapping techniques and based on these we produce a media art work "DYMANIC ROOM" through the conceptual development and the technical aspects of interactive video projection mapping.
This paper presents optimal amplify-and-forward (AF) relay amplifying matrices based on the minimum mean square error (MMSE) criterion for a cooperative AF wireless relay network consisting of a one-source-one-destination node pair and two-level N relay nodes. During data transmission, power is constrained at the source node, at the relay nodes in the first and the second levels, and at the destination node. In addition, this paper considers the case that power is intentionally not constrained. Hence, for the no-power constraint example, a positive scaling factor is employed to meet the target signal-to-noise ratio (SNR TGT ) at the destination node. With the derived optimal relay amplifying matrices, bit error rate (BER) of the wireless relay network under both power and no-power constraint is simulated.
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