Current Issue : April-June
Volume : 2022
Issue Number : 2
Articles : 5 Articles
Traditional text annotation-based video retrieval is done by manually labeling videos with text, which is inefficient and highly
subjective and generally cannot accurately describe the meaning of videos. Traditional content-based video retrieval uses
convolutional neural networks to extract the underlying feature information of images to build indexes and achieves similarity
retrieval of video feature vectors according to certain similarity measure algorithms. In this paper, by studying the characteristics
of sports videos, we propose the histogram difference method based on using transfer learning and the four-step
method based on block matching for mutation detection and fading detection of video shots, respectively. By adaptive
thresholding, regions with large frame difference changes are marked as candidate regions for shots, and then the shot
boundaries are determined by mutation detection algorithm. Combined with the characteristics of sports video, this paper
proposes a key frame extraction method based on clustering and optical flow analysis, and experimental comparison with the
traditional clustering method. In addition, this paper proposes a key frame extraction algorithm based on clustering and optical
flow analysis for key frame extraction of sports video. (e algorithm effectively removes the redundant frames, and the
extracted key frames are more representative. (rough extensive experiments, the keyword fuzzy finding algorithm based on
improved deep neural network and ontology semantic expansion proposed in this paper shows a more desirable retrieval
performance, and it is feasible to use this method for video underlying feature extraction, annotation, and keyword finding, and
one of the outstanding features of the algorithm is that it can quickly and effectively retrieve the desired video in a large number
of Internet video resources, reducing the false detection rate and leakage rate while improving the fidelity, which basically
meets people’s daily needs....
To improve the effect of modern art design, this study presents a camera pose estimation algorithm based on the least feature
points of quaternion. Moreover, this study detects and matches the feature points of the camera image and establishes a system of
formulas through the rigid constraints of the feature points, thereby constructing an eigenvalue problem to solve the camera pose.
In addition, this study combines artificial intelligence technology to construct the modern art interactive design system and
structure the system function structure. Finally, this study analyzes the logical structure and spatial structure of the system and
uses the design to analyze the performance of the modern art interaction design model proposed in this study. ,rough experimental
research, it can be known that the modern art interactive design system based on artificial intelligence technology
proposed in this study can basically meet the artistic design needs of the new media era....
With education and teaching reform, Internet teaching is increasing. /eintroduction analysis of short text messages generated by
e-learning can optimise class, improving innovation capacity and cooperation. To study the way of instructional design under
artificial intelligence, the current status of the development of instructional has to be mentioned. In order to study the impact of
online teaching on the improvement of computer thinking and skills in higher vocational education, this article is based on online
English teaching embedded in the Internet and on virtual simulation technology, to enable primary school students to cultivate
computer education thinking from an early age. /e personalities can be fully represented and developed....
Direct power control (DPC) of pulse width modulation (PWM) is often used to control the instantaneous power of rectifiers. )e
instantaneous power contains both grid voltage and current information, and its value is not affected by coordinate transformation.
It is constant in steady state and reflects the DC control characteristics. However, the switching frequency of traditional
DPC is not fixed, the DC voltage has static error, and the system fluctuates greatly. In this work, we introduce the concept of stator
flux of the AC motor into thePWMrectifier. Combined with the space vectorPWM(SVPWM) technology, we use the virtual flux
estimation method to obtain the instantaneous power value, which saves the grid voltage sensor, eliminates the static difference of
DC voltage. Furthermore, considering that the neural proportion integral differential (PID) control depends heavily on the initial
weight coefficient of the network, we use chaos particle swarm optimization (CPSO) algorithm, which combines the basic PSO
algorithm and chaos theory to optimize the initial weight coefficient of neural PID control. In the experiment, the results prove
that the performance of the controller can be effectively improved....
Recent outbreaks and the worldwide spread of COVID-19 have challenged mankind
with unprecedented difficulties. The introduction of autonomous disinfection robots appears to be
indispensable as consistent sterilization is in desperate demand under limited manpower. In this
study, we developed an autonomous navigation robot capable of recognizing objects and locations
with a high probability of contamination and capable of providing quantified sterilization effects.
In order to quantify the 99.9% sterilization effect of various bacterial strains, as representative
contaminants with robots operated under different modules, the operating parameters of the moving
speed, distance between the sample and the robot, and the radiation angle were determined. We
anticipate that the sterilization effect data we obtained with our disinfection robot, to the best of our
knowledge, for the first time, will serve as a type of stepping stone, leading to practical applications
at various sites requiring disinfection....
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