Time-lapse imaging is a technique whereby serial images are taken at regular time points to capture the dynamics of what is being observed. Recorded images can be played back at different speeds to aid analysis. Uncover the latest and most impactful research in Time-lapse Imaging. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field.
Rip currents are a common coastal hazard and the leading cause of beach-related drownings worldwide. However, their dynamic and variable appearance makes them difficult for beachgoers to identify, highlighting the potential of automated rip current...
Temporal subtraction (TS) imaging highlights interval changes by computing a voxel-wise difference between spatially registered serial CT examinations, converting side-by-side comparison into a single map of change. Although TS head CT has been...
Conventional cameras capture low-temporal-frequency, low-dynamic-range data, while producing large volumes of information. Event cameras, by contrast, record asynchronous brightness changes with high dynamic range, low latency, and compact data....
Background Equine colic emergencies present highly stressful, time-critical scenarios for both clinicians and patients, thus rapid and accurate diagnostic triage is paramount. To support veterinarians under these high-pressure conditions, deep...
Purpose To develop an exploratory flow-through time-lapse macro-imaging framework combining rule-based image analysis and multimodal large language models (LLMs) for comparing release phenotypes of nifedipine osmotic pump tablets. Methods...
Liquefied petroleum gas (LPG) is widely used in industrial applications as a clean energy source. However, its flammable nature makes leakage detection essential for industrial safety. Conventional methods are often affected by semi-transparent weak...
Manual analysis of high-speed images is time-consuming and subject to operator-dependent errors when quantifying cereal-kernel impact-breakage parameters. This study presents a high-speed image-based framework for controlled single-kernel impact...
STIX records X-rays from Solar activity from 4 to 150 keV with 32 detectors, each divided into 12 pixels. Background is obtained using the BKG detector and is known to essentially correspond to the background radioactive sources onboard STIX. This...
This study presents a Lightweight Nonlinear Scheduler (LNS) for endpoint-preserving facial keyframe interpolation. The work is positioned as a pilot-scale feasibility study rather than a full facial video synthesis system. Given source and target...
A time-delay embedding (TDE), grounded in the framework of Takens’s Theorem, provides a mechanism to reconstruct and analyze the state-space representation of time-series data. Recently, topological data analysis (TDA) methods have been applied to...
High-flux electron counting with event-driven detectors is fundamentally limited by pixel-level deadtime, resulting in nonlinear count loss, variance suppression, and distortion of spatial intensity profiles. We introduce a monitor-free,...
Background Accurate detection of regional wall motion abnormalities (RWMA; akinesia, dyskinesia, dyssynchronous contraction) is important in the diagnosis of arrhythmogenic cardiomyopathy (ACM). We describe our initial experience with cardiac...
Video anomaly detection aims to identify events that deviate from normal behavior patterns in surveillance videos. Since real anomalies are rare, diverse, and difficult to enumerate, this paper considers the unsupervised one-class setting in which...
The training and evaluation of autonomous-driving perception systems rely on multimodal scene data. However, limited real-world long-tail scenarios have made generative world models an important complementary data source. Existing methods mainly...
Background At the blastocyst stage, embryo selection is still performed based on morphology assessment following the Gardner and Schoolcraft grading system, despite its subjectivity and lack of quantitative criteria. Continuous culture monitoring...
Spatiotemporal action detection requires simultaneous bounding box regression and action classification, yet existing two-stream detectors feed identical 3D features to both task-specific heads, ignoring potential channel-level specialization. We...
Satellite laser ranging (SLR) is a highly sophisticated observational technique that entails substantial installation and operational costs among space geodetic technologies. Despite these costs, SLR remains indispensable for determining fundamental...
Landslides are among the most destructive geohazards in open-pit mines, and their monitoring and early warning are of great importance for risk mitigation. Video surveillance systems integrated with machine vision technologies offer innovative...
Nighttime videography struggles with a dilemma between severe motion blur and low signal-to-noise ratio (SNR). To bypass this challenge, we propose an event-guided blur decomposition network (EBDNet) built on RGB-event hybrid photography, which...
Four-dimensional computed tomography (4DCT) is routinely used in radiotherapy simulation to evaluate respiration-induced tumor motion, but the motion information is often reviewed visually rather than captured as structured, phase-resolved data. We...
Journal
Experiments in Fluids examines the advancement, extension, and improvement of new techniques of flow-related measurement. The journal also publishes...
The International Journal of Computer Vision(IJCV) provides a forum for the dissemination of new research results in the rapidly growing field of...
Multimedia Tools and Applications(MTAP) publishes high-quality original research articles, surveys, technical reports, and case studies that advance...
