The three-step search (TSS) algorithm has been widely used as the motion estimation technique in some low bit-rate video compression applications, owing to its simplicity and effectiveness. However, TSS uses a uniformly allocated checking point pattern first step, which becomes inefficient for of small motions. A new (NTSS) is proposed paper. features NTSS are that it employs center-biased derived by making adaptive vector distribution, halfway-stop reduce computation cost. Simulation...

In this paper, we propose a deep learning architecture that produces accurate dense depth for the outdoor scene from single color image and sparse depth. Inspired by indoor completion, our network estimates surface normals as intermediate representation to produce depth, can be trained end-to-end. With modified encoder-decoder structure, effectively fuses LiDAR To address specific challenges, predicts confidence mask handle mixed signals near foreground boundaries due occlusion, combines...

To overcome the difficulties of charging wireless sensors in wild with conventional energy supply, more and researchers have focused on sensor networks renewable generations. Considering uncertainty generations, an effective management strategy is necessary for sensors. In this paper, we propose a novel algorithm based reinforcement learning. By utilizing deep deterministic policy gradient (DDPG), proposed applicable continuous states realizes management. We also state normalization to help...

In this paper, we propose an efficient algorithm to remove rain or snow from a single color image. Our takes advantage of two popular techniques employed in image processing, namely, decomposition and dictionary learning. At first, combination rain/snow detection guided filter is used decompose the input into complementary pair: 1) low-frequency part that free almost completely 2) high-frequency contains not only component but also some even many details Then, focus on extraction image's...

Non-orthogonal multiple access (NOMA) has been considered as a significant candidate technique for the next generation wireless communication to support high throughput and massive connectivity. It allows different users be multiplexed on one channel through applying superposition coding at transmitter successive interference cancellation (SIC) receiver. To fully utilize benefit of NOMA technique, key problem is how optimally allocate resources, such power channels, maximize system...

Point cloud registration is a key task in many computational fields. Previous correspondence matching based methods require the inputs to have distinctive geometric structures fit 3D rigid transformation according point-wise sparse feature matches. However, accuracy of heavily relies on quality extracted features, which are prone errors with respect partiality and noise. In addition, they can not utilize knowledge all overlapping regions. On other hand, previous global approaches entire...

Indoor human sensing, recognition, and detection, as key enablers of building smart environments, such home, retail, museum, have gained tremendous attention in recent years. Compared with traditional vision-based wearable sensor-based solutions, radio-frequency (RF)-based approaches are more desirable the contactless nonline-of-sight nature. Among all RF-based approaches, WiFi-based been focus many researchers because ubiquitous availability cost efficiency. In this article, we present a...

In this paper, we propose an efficient blind image quality assessment (BIQA) algorithm, which is characterized by a new feature fusion scheme and k-nearest-neighbor (KNN)-based prediction model. Our goal to predict the perceptual of without any prior information its reference distortion type. Since inaccessible in many applications, BIQA quite desirable context. our method, first introduced combining image's statistical from multiple domains (i.e., discrete cosine transform, wavelet, spatial...

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> Nearly all block-based transform schemes for image and video coding developed so far choose the 2-D discrete cosine (DCT) of a square block shape. With almost no exception, this conventional DCT is implemented separately through two 1-D transforms, one along vertical direction another horizontal direction. In paper, we develop new framework in which first may to follow other than or one. The...

In this paper, we propose a contact-free breath tracking system, BreathTrack, to track the status of using off-the-shelf WiFi devices. BreathTrack exploits phase variation channel state information (CSI) human breath. To resolve distortions introduced by hardware imperfection commodity chips, utilizes both and software correction methods. The time-invariant PLL offset is calibrated cables splitters, while time-varying carrier frequency offset, sampling packet detection delay are removed...

Recent efforts in visible light communication over screen-camera links have exploited the display for data communication. Such practices, albeit convenient, led to contention between space allocated users and content reserved devices, addition their visual anti-aesthetics distractedness. In this paper, we propose INFRAME++, a system that enables concurrent, dual-mode, full-frame both devices. INFRAME++ leverages spatial-temporal flicker-fusion property of human vision fast frame rate modern...

In this paper, we extend image stitching to video for videos that are captured the same scene simultaneously by multiple moving cameras. practice, under circumstance often appear shaky. Directly applying methods shaking suffers from strong spatial and temporal artifacts. To solve problem, propose a unified framework in which stabilization performed jointly. Specifically, our system takes several overlapping as inputs. We estimate both inter motions (between different videos) intra...

Gastrointestinal (GI) disease is one of the most common diseases and primarily examined by GI endoscopy. Recently, deep learning (DL), in particular convolutional neural networks (CNNs) have made achievements endoscopy image analysis. This review focuses on applications DL methods analysis images. We summarized compared latest published literature related to clinical covers key detection, classification, segmentation, recognition, location, other tasks. At end, we give a discussion...

We present a new pipeline for holistic 3D scene understanding from single image, which could predict object shapes, poses, and layout. As it is highly ill-posed problem, existing methods usually suffer inaccurate estimation of both shapes layout especially the cluttered due to heavy occlusion between objects. propose utilize latest deep implicit representation solve this challenge. not only an image-based local structured network improve shape estimation, but also refine pose via novel graph...

We present a new deep point cloud rendering pipeline through multi-plane projections. The input to the network is raw of scene and output are image or sequences from novel view along camera trajectory. Unlike previous approaches that directly project features 3D points onto 2D domain, we propose these into layered volume frustum. In this way, visibility can be automatically learnt by network, such ghosting effects due false check as well occlusions caused noise interferences both avoided...

Data association is important in the point cloud registration. In this work, we propose to solve partial-to-partial registration from a new perspective, by introducing multi-level feature interactions between source and reference clouds at extraction stage, such that can be realized without attentions or explicit mask estimation for overlapping detection as adopted previously. Specifically, present FINet, interactionbased structure with capability enable strengthen information associating...

We present a highly efficient method for cyanating challenging substrates with specific focus on aryl fluorides. This innovative methodology has been successfully expanded to encompass diverse array of halides, underscoring its versatility and broad applicability. The nickel-catalyzed protocol utilizes acetonitrile under mild temperature conditions, providing clean safe alternative cyanation. Notably, it employs nonhazardous, nongaseous, metal-free cyanide source demonstrates wide substrate...

Hepatitis C Virus core protein (HCVc) plays important roles in the development of intrahepatic cholangiocarcinoma (ICC). MicroRNAs (miRNAs) contribute to tumor progression by interacting with downstream target genes. However, regulation and role miRNAs HCV‐related (HCV‐ICC) is poorly understood. In this study, we found that miR‐124 was down‐regulated HCV‐ICC induction DNMT1 HCVc mediated suppression miR‐124. Over‐expression suppressed cell migration invasion vitro, reduced levels SMYD3 genes...