A new multicomponent copper( i )-catalyzed interrupted click reaction which allows the rapid modular synthesis of multisubstituted triazole sulfides including various medium-sized and macrocycles in one-step from elemental sulfur was reported.

Pedestrian detection in intelligent transportation systems has made significant progress but faces two critical challenges: (1) insufficient fusion of complementary information between visible and infrared spectra, particularly complex scenarios, (2) sensitivity to illumination changes, such as low-light or overexposed conditions, leading degraded performance. To address these issues, we propose PedDet, an adaptive spectral optimization complementarity framework specifically enhanced...

Aerial Vision-Dialog Navigation (AVDN) is a new task that requires drones to navigate target location based on human-robot dialog history. This paper focuses the critical fine-grained cross-modal alignment problem in AVDN, requiring drone align language entities with visual landmarks top-down views. To achieve this, we first construct Fine-Grained AVDN (FG-AVDN) dataset via semi-automatic annotation pipeline, providing diverse multimodal annotations at entity-landmark level. Based novel...

In this work we propose an algorithm for compressing the geometry of a 3D point cloud (3D point-based model). The proposed is based on hierarchical clustering points. Starting from input model, it performs to points generate coarser approximation, or level detail (LOD). Iterating process, sequence LODs are generated, forming LOD hierarchy. Then, hierarchy traversed top down in width-first order. For each node encountered during traversal, corresponding geometric updates associated with its...

Abstract A feature‐oriented generic progressive lossless mesh coder (FOLProM) is proposed to encode triangular meshes with arbitrarily complex geometry and topology. In this work, a sequence of levels detail (LODs) are generated through iterative vertex set split bounding volume subdivision. The incremental connectivity updates associated each and/or subdivision entropy coded. Due the visual importance sharp geometric features, whole coding process optimized for better presentation...

Accurate segmentation and analysis for each animal in surveillance video images will help poultry farmers to monitor promote welfare. However, it is challenging accurately segment due the similar appearance, different scales, rapid growth adhesive areas of group animals. Meanwhile, lacking useful training data also limits effectiveness algorithms. To address these problems, we first construct a chicken image dataset study behavior chickens intelligent monitoring analysis. Then, propose an...

In recent years, pedestrian tracking algorithms have witnessed extensive utilization in various domains. Particularly noteworthy is the attention garnered by hospital due to its potential enhance operational efficiency and patient's safety. The continuously stable accurate patients' position information can help hospitals guarantee that patients remain within designated areas get timely assistance when necessary. this work, order improve robustness of data fusion filter for tracking, one...

In this work, we propose an original scheme for generic content-based retrieval of marker-based motion capture data. It works on data arbitrary subject types and marker attachment labelling conventions. Specifically, a novel signature to statistically describe both the high-level low-level morphological kinematic characteristics sequence, conduct by computing ordering distance between query every item in database. The two signatures is computed weighted sum differences separate features...

In this article we propose a novel, robust, and high-capacity watermarking method for 3D meshes with arbitrary connectivities in the spatial domain based on affine invariants. Given mesh model, watermark is embedded as affine-invariant length ratios of one diagonal segment to residing intersected by other coplanar convex quadrilateral. extraction process, recovered combining all pieces through majority voting. Extensive experimental results demonstrate robustness, high computational...

Video content downloading using the P2P approach is scalable, but does not always give good performance. Recently, subscription-based premium services have emerged, referred to as cloud downloading. In this service, storage and server caches user-interested updates cache based on user requests. If a requested video in cache, request held waiting state until updated. We call design mode. An alternative let serve all requests soon they arrive, behaving helper peer. Our model analysis show that...

Traditionally, for diagnosing patellar dislocation, clinicians make manual geometric measurements on computerized tomography (CT) images taken in the knee area, which is often complex and error-prone. Therefore, we develop a prototype CAD system automatic measurement diagnosis. We firstly segment patella femur regions CT then measure two quantities, tilt angle (PTA), lateral shift (PLS) automatically segmentation results, are finally used to assist diagnoses. The proposed quantities proved...

Content-based human motion capture (MoCap) data retrieval facilitates reusing that have already been captured and stored in a database. For MoCap system to get practically deployed, both high precision natural interface are demanded. Targeting both, we propose video-based solution this work. It lets users specify query via video clip, addresses the representational gap between clips extracts discriminative features for precise retrieval. Specifically, proposed scheme firstly converts each...

In this work, we propose a novel solution for simplifying texture-mapped three-dimensional (3D) meshes. It simplifies 3D triangular mesh to optimally preserve the visual appearance of original model at reduced vertex budgets. While taking prevalent strategy iterative edge contraction, proposed scheme is in that it takes into account local texture image characteristics when prioritizing simplification operators, and conducts closed-form optimization computing coordinates each replacement...

An adaptively refined block matching algorithm (AR-BMA) for motion compensated (MC) video coding is presented. The AR-BMA requires transmitting the same amount of data as conventional (BMA) while achieving much higher prediction accuracy by an adaptive refinement scheme that captures fine variations in scenes. Experimental results show significant reduction errors compared with full-search BMA.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

With the rapid development and wide application of medical imaging technology, explosive volumes image data are produced every day all over world. As such, it becomes increasingly challenging to manage utilize such effectively efficiently. In particular, content-based retrieval has been intensively researched in past decade or so. this work, we propose a novel approach utilizing co-occurrence both texture shape features contrast most previous algorithms that use purely feature. Specifically,...

This paper presents a new method for realistic real-time rendering of air pollutants based on image processing.The pollutants' variable density can create many shapes mist what add environment to virtual scene.In order achieve effect, we further enhance thus obtained pollution data getting from monitor in spatial domain.In the proposed map densities different gray levels, and visualize them by blending those levels with background images.The also large-scale viewpoints provide resulting any...

Two new motion compensation methods for video coding are presented. The first method named motion-partitioned adaptive block matching algorithm (MPA-BMA) uses boundary information as the sub-dividing or merging criteria to form variable-size blocks. second predictive (PBMA) eliminates need of sending data by predicting vectors from previously transmitted pixels. performance evaluation both algorithms given in experiments.

In this work, we propose to retrieve images according a subspace-projected color and texture (SuPCAT) feature descriptor. Firstly, novel contrast distribution (CoCD) descriptor characterize the pixels' colors in an image. Thereafter, combine proposed CoCD with four effective descriptors conduct subspace projection on combined for reduced dimensionality increased discriminativeness, which leads SuPCAT By integrating basic Euclidean distance metric, construct image retrieval scheme experiments...