Fine-grained visual classification (FGVC) which aims at recognizing objects from subcategories is a very challenging task due to the inherently subtle inter-class differences. Most existing works mainly tackle this problem by reusing backbone network extract features of detected discriminative regions. However, strategy inevitably complicates pipeline and pushes proposed regions contain most parts thus fails locate really important parts. Recently, vision transformer (ViT) shows its strong...

Abstract An important area of computer vision is real-time object tracking, which now widely used in intelligent transportation and smart industry technologies. Although the correlation filter tracking methods have a good effect, it still faces many challenges such as scale variation, occlusion, boundary effects. Many scholars continuously improved existing for better efficiency performance some aspects. To provide comprehensive understanding background, key technologies algorithms single...

Today, a new generation of artificial intelligence has brought several research domains such as computer vision (CV). Thus, target tracking, the base CV, been hotspot domain. Correlation filter (CF)-based algorithm basis real-time tracking algorithms because high efficiency. However, CF-based usually failed to track objects in complex environments. Therefore, this article proposes fuzzy detection strategy prejudge result. If process determines that result is not good enough current frame,...

In the era of rapid development artificial intelligence, integration multimedia and human-artificial intelligence has become an important research hotspot. Especially in environment, effective remote visual monitoring exploration direction many scholars. The use traditional correlation filtering (CF) algorithm for real-time context is a practical strategy. However, most existing filtering-based algorithms still have problem insufficient robustness effectiveness. Therefore, by considering...

In social network big data scheduling, it is easy for target to conflict in the same node. Of different kinds of entropy measures, this paper focuses on optimization entropy. Therefore, presents an optimized method scheduling networks and also takes into account each task’s amount communication during transmission construct a model. Firstly, task model constructed solve problem conflicting Next, necessary conditions tasks are analyzed. Then, periodic distribution function calculated....

Magnetic resonance imaging (MRI), which assists doctors in determining clinical staging and expected surgical range, has high medical value. A large number of MRI images require a amount storage space the transmission bandwidth PACS system offline remote diagnosis. Therefore, high-quality compression is very research-oriented. Current methods for with ratio cause loss information on lesions, leading to misdiagnosis; low does not achieve desired effect. fast fractal-based algorithm proposed...

Cell reprogramming played important roles in medical science, such as tissue repair, organ reconstruction, disease treatment, new drug development and breeding of species. Especially, Oct4, the core pluripotency factor, a key role somatic cell through transcriptional control. However, there was no scientific description quantitative relationship between Oct4 signal intensity target gene expression currently. Therefore, generalized linear regression method constructed to predict values by...

With the rapid development of computer science, problems with digital products piracy and copyright dispute become more serious; therefore, it is an urgent task to find solutions for these problems. In this study, authors’ develop a watermarking algorithm based on fractal encoding method discrete cosine transform (DCT). The proposed combines DCT double encryptions improve traditional method. image encoded by as first encryption, then parameters are used in second encryption. First, adopted...

Fractal encoding method becomes an effective image compression because of its high ratio and short decompressing time. But one problem known fractal is computational complexity consequent long compressing To address this issue, in paper, distance clustering dimensional sphere surface applied to speed up the method. Firstly, as a preprocessing strategy, divided into blocks, which are mapped on surface. Secondly, novel matching presented based Then, correctness effectiveness properties...

With the development of technologies such as multimedia technology and information technology, a great deal video data is generated every day. However, storing transmitting big requires large quantity storage space network bandwidth because its scale. Therefore, compression method has become challenging research topic at present. Performance existing content‐based sequence difficult to be effectively improved. in this paper, we present fractal‐based parallel without content for data. First...