Animation Sequences Research Articles

ExpressGesture: Expressive gesture generation from speech through database matching

AbstractCo‐speech gestures are a vital ingredient in making virtual agents more human‐like and engaging. Automatically generated gestures based on speech‐input often lack realistic and defined gesture form. We present a database‐driven approach guaranteeing defined gesture form. We built a large corpus of over 23,000 motion‐captured co‐speech gestures and select individual gestures based on expressive gesture characteristics that can be estimated from speech audio. The expressive parameters are gesture velocity and acceleration, gesture size, arm swivel, and finger extension. Individual, parameter‐matched gestures are then combined into animated sequences. We evaluate our gesture generation system in two perceptual studies. The first study compares our method to the ground truth gestures as well as mismatched gestures. The second study compares our method to five current generative machine learning models. Our method outperformed mismatched gesture selection in the first study and showed competitive performance in the second.

Data-Driven 3D Neck Modeling and Animation.

In this article, we present a data-driven approach for modeling and animation of 3D necks. Our method is based on a new neck animation model that decomposes the neck animation into local deformation caused by larynx motion and global deformation driven by head poses, facial expressions, and speech. A skinning model is introduced for modeling local deformation and underlying larynx motions, while the global neck deformation caused by each factor is modeled by its corrective blendshape set, respectively. Based on this neck model, we introduce a regression method to drive the larynx motion and neck deformation from speech. Both the neck model and the speech regressor are learned from a dataset of 3D neck animation sequences captured from different identities. Our neck model significantly improves the realism of facial animation and allows users to easily create plausible neck animations from speech and facial expressions. We verify our neck model and demonstrate its advantages in 3D neck tracking and animation.

First Description of SARS-CoV-2 Infection in Two Feral American Mink (Neovison vison) Caught in the Wild.

Simple SummaryCOVID-19 is one of the most important pandemics in recent history. It is an emerging infectious disease, probably of animal origin. Several domesticated and non-domesticated animals are naturally susceptible to SARS-CoV-2 infection, including Mustelidae, of which mink is the first species identified to suffer from this infection. We report herein the detection of the SARS-CoV-2 RNA in lymph node tissue from two feral American mink (Neovison vison) trapped in the wild in the Valencian Community (Eastern Spain) during invasive species trapping campaigns.Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the causal agent of COVID-19, is considered a pathogen of animal origin that is mainly transmitted from human to human. Several animal species can be naturally or experimentally infected by SARS-CoV-2, with compelling evidence that mink is highly susceptible to SARS-CoV-2 infection. Human-to-mink infection cases have been reported and there are also suggestions that mink-to-human infection occurs. Mink infections have been reported to date only on fur farms, except for one infected free- ranging wild mink near a Utah (USA) fur farm, which suggests a transmission pathway from farms to wild mink. We now report the detection of SARS-CoV-2 in 2 of 13 feral dark brown American mink (Neovison vison) trapped in the Valencian Community (Eastern Spain), during an invasive species trapping campaign. They were trapped in riverbeds in sparsely inhabited rural areas known to harbor self-sustained feral mink populations. The closest fur farm is about 20 km away. SARS-CoV-2 RNA was detected by two-step RT-PCR in these animals’ mesenteric lymph nodes and was confirmed by sequencing a 397-nucleotide amplified region of the S gene, yielding identical sequences in both animals. A molecular phylogenetic analysis was run on this sequence, which was found to correspond to the consensus SARS-CoV-2 sequence from Wuhan. Our findings appear to represent the first example of SARS-CoV-2 acquired in the wild by feral mink in self-sustained populations.

Molecular detection and genetic characterization of ovine gammaherpesvirus-2 (OvHV-2) in sheep in the Philippines

Abstract Ovine gammaherpesvirus-2 (OvHV-2) causes sheep-associated malignant catarrhal fever (SA-MCF) and is a fatal disease of some ruminants such as cattle, water buffalo and even-toed ungulates (such as deer, other cervids and some species of pigs). OvHV-2, however, was never reported to be present in the Philippines. Thus, this study is conducted. Out of 89 sheep blood samples from 6 farms, 58 (65.17 %) were positive for OvHV-2 using semi-Polymerase Chain Reaction targeting the tegument gene. Phylogenetic analysis suggests that the OvHV-2 sequences from sheep in the Philippines are nearly identical to the OvHV-2 sequences of animals from Brazil and Germany and 98 % identical to sequences from Turkey, India, Egypt, UK, and Mongolia. To date, this is the first report of OvHV-2 in the Philippines and could provide information in the future for the control and prevention of SA-MCF in the country.

Example-Based Facial Animation of Virtual Reality Avatars Using Auto-Regressive Neural Networks.

This article presents a hybrid animation approach that combines example-based and neural animation methods to create a simple, yet powerful animation regime for human faces. Example-based methods usually employ a database of prerecorded sequences that are concatenated or looped in order to synthesize novel animations. In contrast to this traditional example-based approach, we introduce a light-weight auto-regressive network to transform our animation-database into a parametric model. During training, our network learns the dynamics of facial expressions, which enables the replay of annotated sequences from our animation database as well as their seamless concatenation in new order. This representation is especially useful for the synthesis of visual speech, where coarticulation creates interdependencies between adjacent visemes, which affects their appearance. Instead of creating an exhaustive database that contains all viseme variants, we use our animation-network to predict the correct appearance. This allows realistic synthesis of novel facial animation sequences like visual-speech but also general facial expressions in an example-based manner.

Knockdown of RpL36 in testes impairs spermatogenesis in Drosophila melanogaster.

Many ribosomal proteins (RPs) not only play essential roles in ribosome biogenesis, but also have "extraribosomal" functions in various cellular processes. RpL36 encodes ribosomal protein L36, a component of the 60S subunit of ribosomes in Drosophila melanogaster. We report here that RpL36 is required for spermatogenesis in D. melanogaster. After showing the evolutionary conservation of RpL36 sequences in animals, we revealed that the RpL36 expression level in fly testes was significantly higher than in ovaries. Knockdown RpL36 in fly testes resulted in a significantly decreased egg hatch rate when these males mated with wild-type females. Furthermore, 76.67% of the RpL36 knockdown fly testes were much smaller in comparison to controls. Immunofluorescence staining exhibited that in the RpL36 knockdown testis hub cell cluster was enlarged, while the number of germ cells, including germ stem cells, was reduced. Knockdown of RpL36 in fly testis caused much fewer or no mature sperms in seminal vesicles. The terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) signal was stronger in RpL36 knockdown fly testes than in the control testes, but the TUNEL-positive cells could not be stained by Vasa antibody, indicating that apoptotic cells are not germ cells. The percentage of pH3-positive cells among the Vasa-positive cells was significantly reduced. The expression of genes involved in cell death, cell cycle progression, and JAK/STAT signaling pathway was significantly changed by RpL36 knockdown in fly testes. These results suggest that RpL36 plays an important role in spermatogenesis, likely through JAK/STAT pathway, thus resulting in defects in cell-cycle progression and cell death in D. melanogaster testes.

Analysis and visualization of temporal variation in visual impacts

The visual impact of infrastructure in the landscape varies through the day, month to month and over longer time periods. This paper describes the use of time-lapse imagery of a wind farm in Tasmania, Australia to develop time series of modelled visual impacts based on changes in the observed visibility. A number of candidate parameters (maximum, mean, median, percentage of time over given thresholds and impact percentiles), which indicate how visual impact changes over time under prevailing local climatic conditions, were compared. Spatial correlations between the potential indicators were examined and it was found that mean and median best correlate with the other possible measures. For locations with proposed wind farms, monitored visibility levels can be used to create images that correspond to these derived indicator conditions. As it is both easy to explain and highly correlated with all other potential indicators, the median visibility condition appears to be the best condition to be analyzed and visualized, along with the worst case, for use in public discussion. The potential of animated sequences of changing conditions—combining imagery, mapping and graphs over an extended period—is also illustrated and discussed.

Molecular characterization of Blastocystis subtypes isolated in the city of Uberaba, Minas Gerais State, Brazil

INTRODUCTIONBlastocystis is an intestinal protozoan that may play a role in the pathogenicity of humans. This study aimed to (i) genetically characterize Blastocystis isolates obtained from human fecal samples and the water supply of the city of Uberaba, Minas Gerais, Brazil, and (ii) to verify the phylogenetic relationship between these isolates. METHODSBlastocystis species present in 26 fecal samples obtained from humans and animals from Uberaba were genetically characterized by polymerase chain reaction-restriction fragment length polymorphism and polymerase chain reaction-sequence-tagged sites. All amplicons were partially sequenced and/or defined according to the GenBank classification. RESULTS Polymerase chain reaction amplicons were generated from 21 human isolates and 18 water samples. The subtypes defined were ST1 (53.3%), ST3 (40.0%), and ST2 (6.7%) for human isolates; ST10 (100%) for bovine isolates; and ST5 (50.0%), ST1 (25%), and ST3 (25%) for pigs. Sequencing of polymerase chain reaction products showed a 98%-99% identity for the Blastocystis sequences deposited in GenBank, except for sequences from water samples that showed the identity of algae sequences. Phylogenetic analysis of Blastocystis sequences showed two distinct groups, one of which was principally formed by ST1, ST5, and ST10, and the other by isolates characterized as ST3 and ST7. Both clades showed human and animal sequences, reinforcing the notion that Blastocystis subtypes are not host-specific.CONCLUSIONS The data showed that Blastocystis subtypes circulating in Uberaba are ST1-ST3, ST5, and ST10, present in both humans and animals, demonstrating that the Blastocystis subtypes are not host-specific; that is, zoonotic transmission is possible.

Investigation of Motion Analysis Techniques for Animation Evaluation and Improvement

The assessment and enhancement of animation quality heavily relies on motion analysis. This study looks into several motion analysis methods for assessing and improving animation. The goal is to find practical methods that may be used to evaluate the expressiveness, fluidity, and realism of animated characters and then enhance their motion. The study starts off with a thorough literature review that examines a variety of motion analysis methods used in the world of animation. These methods comprise motion capture, position estimation, key frame analysis, physics-based simulation, and machine learning-based methods. Each technique's benefits and drawbacks are analysed, as well as how well it works with various types of animation and settings. As part of the research process, motion data is gathered from a variety of animated sequences, and the identified motion analysis methodologies are then used to evaluate the data. Performance indicators including joint angles, timing, and trajectory are assessed and contrasted with predetermined benchmarks or data on human motion. The visual appeal and plausibility of the animations are also evaluated through perception research involving human viewers. Recommendations are offered for enhancing animation workflows and techniques based on the findings. These suggestions include improving the present motion capture pipelines, introducing machine learning methods for motion prediction and synthesis, and incorporating more precise physics-based models.

The immersive environment as a driver for environmental change; addressing the Out of Sight, Out of Mind impacts of the Anthropocene on the Mar Menor, Spain

Out of Sight, Out of Mind is a unique interactive 360° video experience of the Mar Menor that manifests the Anthropocene effects on the landscape as augmented, surreal and metaphysical interpretations of the artist’s experiences, during their residency and available secondary scientific data of the Mar Menor ecosystem. Through environmental, social, economic and cultural observations and encounters the team developed an immersive 360° environment that incorporates video and audio recordings with augmented, imaginary and predicted realities transformed from scientific data in obscure and profound guises. This 360° telematic installation incorporating live audience interaction within the original 360° video experience was exhibited at the Centro Cultural Puertas de Castilla in Murcia in May 2019. This collaborative project was developed following a ten-day residency on the Mar Menor, a 170 km² saltwater lagoon on the south-east coast of Spain in September 2018, where the majority of the primary research took place by gathering 360° video material from observations, experiences and interviews. The project has been developed by a team of three UK artists, each bringing specialist experience and knowledge of 360° video to undertake the research and create a unique understanding and manifestation of the changing ecosystem of the Mar Menor. This collaborative project includes and combines Paul Sermon’s co-located telematic experiences in 360° live video environments, Charlotte Gould’s immersive 360° animated augmented reality and Jeremiah Ambrose’s gaze-controlled navigation through 360° video narratives. This practice-based team of artists undertook this research using a range of video and gaming software and advanced hardware devices, including Insta360 Pro 8K video cameras and Oculus Rift head-mounted-displays in conjunction with live video switchers. This has produced a range of ultra HD 360° outputs involving stereo 8K and real-time 4K environments with augmented live 360° video and animation sequences through live chroma-keying effects.

Transmission of SARS-CoV-2 on mink farms between humans and mink and back to humans.

Animal experiments have shown that nonhuman primates, cats, ferrets, hamsters, rabbits, and bats can be infected by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In addition, SARS-CoV-2 RNA has been detected in felids, mink, and dogs in the field. Here, we describe an in-depth investigation using whole-genome sequencing of outbreaks on 16 mink farms and the humans living or working on these farms. We conclude that the virus was initially introduced by humans and has since evolved, most likely reflecting widespread circulation among mink in the beginning of the infection period, several weeks before detection. Despite enhanced biosecurity, early warning surveillance, and immediate culling of animals in affected farms, transmission occurred between mink farms in three large transmission clusters with unknown modes of transmission. Of the tested mink farm residents, employees, and/or individuals with whom they had been in contact, 68% had evidence of SARS-CoV-2 infection. Individuals for which whole genomes were available were shown to have been infected with strains with an animal sequence signature, providing evidence of animal-to-human transmission of SARS-CoV-2 within mink farms.

Functional Characterization of Facilitative Glucose Transporter 4 With a Delay Responding to Plasma Glucose Level in Blunt Snout Bream (Megalobrama amblycephala).

Facilitative glucose transporter 4 (GLUT4) plays a central role in mediating insulin function to increase glucose uptake in glucose metabolism homeostasis. In this study, the function and localization of GLUT4 in blunt snout bream (Megalobrama amblycephala) were first investigated, and then, the response measured as carbohydrate level, was analyzed. The results showed that the cDNA sequence of GLUT4 in blunt snout bream (MaGLUT4, GenBank accession no: MT447093) was 2868 bp in length, and the corresponding mRNA contained a 5′-UTR region of 513 bp and a 3′-UTR region of 837 bp. MaGLUT4 had an open reading frame of 1518 bp and was encoded by 505 amino acids. Its theoretical isoelectric point and molecular weight was 6.41 and 55.47 kDa, respectively. A comparison of these characteristics with BLASTP results from the NCBI database showed that MaGLUT4 had the highest homology with Cypriniformes fish, with MaGLUT4 and GLUT4 of other Cypriniformes clustered in the phylogenetic tree with other GLUT1–4 amino acid sequences. Compared with the results from the homo_sapiens and mus_musculus data sets, some mutations were observed in the GLUT4 amino acid sequence of these aquatic animals, including an FQQI mutation to FQQL, LL mutation to MM, and TELEY mutation to TELDY. MaGLUT4 was constitutively expressed in the muscle, intestine, and liver, with the highest mRNA level observed in muscle. Furthermore, the predicted tertiary structure and results of immunohistochemical staining showed that MaGLUT4 was a transmembrane protein primarily located in the plasma membrane, where it accounts for 60.9% of the total expressed, according to an analysis of subcellular localization. Blood glucose level peaked within 1 h, and the insulin level peaked at 6 h, while the mRNA and protein levels of GLUT4 showed an upward trend with an increase in feeding time and decreased sharply after 12 h. These results confirmed that MaGLUT4 was mainly distributed in muscles and crosses the cell membrane. The changes in the insulin, mRNA, and protein levels of MaGUT4 lagged far behind changes in blood glucose levels. This delay in insulin level changes and GLUT4 activation might be the important reasons for glucose intolerance of this fish species.

Dynamic Upsampling of Smoke through Dictionary-based Learning

Simulating turbulent smoke flows with fine details is computationally intensive. For iterative editing or simply faster generation, efficiently upsampling a low-resolution numerical simulation is an attractive alternative. We propose a novel learning approach to the dynamic upsampling of smoke flows based on a training set of flows at coarse and fine resolutions. Our multiscale neural network turns an input coarse animation into a sparse linear combination of small velocity patches present in a precomputed over-complete dictionary. These sparse coefficients are then used to generate a high-resolution smoke animation sequence by blending the fine counterparts of the coarse patches. Our network is initially trained from a sequence of example simulations to both construct the dictionary of corresponding coarse and fine patches and allow for the fast evaluation of a sparse patch encoding of any coarse input. The resulting network provides an accurate upsampling when the coarse input simulation is well approximated by patches present in the training set (e.g., for re-simulation), or simply visually plausible upsampling when input and training sets differ significantly. We show a variety of examples to ascertain the strengths and limitations of our approach and offer comparisons to existing approaches to demonstrate its quality and effectiveness.

Heritability of language laterality assessed by functional transcranial Doppler ultrasound: a twin study.

Background: Prior studies have estimated heritability of around 0.25 for the trait of handedness, with studies of structural brain asymmetry giving estimates in a similar or lower range. Little is known about heritability of functional language lateralization. This report describes heritability estimates using functional language laterality and handedness phenotypes in a twin sample previously reported by Wilson and Bishop (2018). Methods: The total sample consisted of 194 twin pairs (49% monozygotic) aged from 6 to 11 years. A language laterality index was obtained for 141 twin pairs, who completed a protocol where relative blood flow through left and right middle cerebral arteries was measured using functional transcranial Doppler ultrasound (fTCD) while the child described animation sequences. Handedness data was available from the Edinburgh Handedness Inventory (EHI) and Quantification of Hand Preference (QHP) for all 194 pairs. Heritability was assessed using conventional structural equation modeling, assuming no effect of shared environment (AE model). Results: For the two handedness measures, heritability estimates (95% CI) were consistent with prior research: .25 (.03 - .34) and .18 (0 - .31) respectively for the EHI and QHP. For the language laterality index, however, the twin-cotwin correlations were close to zero for both MZ and DZ twins, and the heritability estimate was zero (0 - .15). Conclusions: A single study cannot rule out a genetic effect on language lateralisation. It is possible that the low twin-cotwin correlations were affected by noisy data: although the split-half reliability of the fTCD-based laterality index was high (0.85), we did not have information on test-retest reliability in children, which is likely to be lower. We cannot reject the hypothesis that there is low but nonzero heritability for this trait, but our data suggest that individual variation in language lateralisation is predominantly due to stochastic variation in neurodevelopment.

Text-driven Speech Animation with Emotion Control

In this paper, we present a new approach to creating speech animation with emotional expressions using a small set of example models. To generate realistic facial animation, two example models called key visemes and expressions are used for lip-synchronization and facial expressions, respectively. The key visemes represent lip shapes of phonemes such as vowels and consonants while the key expressions represent basic emotions of a face. Our approach utilizes a text-to-speech (TTS) system to create a phonetic transcript for the speech animation. Based on a phonetic transcript, a sequence of speech animation is synthesized by interpolating the corresponding sequence of key visemes. Using an input parameter vector, the key expressions are blended by a method of scattered data interpolation. During the synthesizing process, an importance-based scheme is introduced to combine both lip-synchronization and facial expressions into one animation sequence in real time (over 120Hz). The proposed approach can be applied to diverse types of digital content and applications that use facial animation with high accuracy (over 90%) in speech recognition.

Caecal microbiota compositions from 7-day-old chicks reared in high-performance and low-performance industrial farms and systematic culturomics to select strains with anti-Campylobacter activity.

There is growing interest in exploring the chickens' intestinal microbiota and understanding its interactions with the host. The objective is to optimize this parameter in order to increase the productivity of farm animals. With the goal to isolate candidate probiotic strains, specific culturomic methods were used in our study to culture commensal bacteria from 7-days old chicks raised in two farms presenting long history of high performance. A total of 347 isolates were cultured, corresponding to at least 64 species. Among the isolates affiliated to the Firmicutes, 26 had less than 97% identity of their partial 16S sequence with that of the closest described species, while one presented less than 93% identity, thus revealing a significant potential for new species in this ecosystem. In parallel, and in order to better understand the differences between the microbiota of high-performing and low-performing animals, caecal contents of animals collected from these two farms and from a third farm with long history of low performance were collected and sequenced. This compositional analysis revealed an enrichment of Faecalibacterium-and Campylobacter-related sequences in lower-performing animals whereas there was a higher abundance of enterobacteria-related sequences in high-performing animals. We then investigated antibiosis activity against C. jejuni ATCC 700819 and C. jejuni field isolate as a first phenotypic trait to select probiotic candidates. Antibiosis was found to be limited to a few strains, including several lactic acid bacteria, a strain of Bacillus horneckiae and a strain of Escherichia coli. The antagonist activity depended on test conditions that mimicked the evolution of the intestinal environment of the chicken during its lifetime, i.e. temperature (37°C or 42°C) and oxygen levels (aerobic or anaerobic conditions). This should be taken into account according to the stage of development of the animal at which administration of the active strain is envisaged.

Practice as research in animation: A provisional engagement

Let me start with a confession. Though for years, I have had an interest in animation and have observed students engaged in puppet, paper and plasticine processes of animation by analogue and digital means, I have myself never constructed an animated sequence. Why, then, have I been invited to write a contribution to this collection? For philosophical and political reasons related to a lifelong engagement with arts and screen media practices and education, I have developed expertise in what some call artistic research and I prefer to call practice as research (PaR). In particular, I have developed an epistemological model for PaR, which sets three modes of knowing – know-how, know-what and know-that – in dynamic inter-relation. In what follows, I place my specialist terms in italics to mark them out.

Exome analysis and functional classification of identified variants in racing Quarter Horses

The main objectives of this study were to identify and functionally classify SNPs and indels by exome sequencing of animals of the racing line of Quarter Horses. Based on the individual genomic estimated breeding values (GEBVs) for maximum speed index (SImax) obtained for 349 animals, two groups of 20 extreme animals were formed. Of these individuals, 20 animals with high GEBVs for SImax and 19 with low GEBVs for SImax had their exons and 5' and 3' UTRs sequenced. Considering SNPs and indels, 105182 variants were identified in the expressed regions of the Quarter Horse genome. Of these, 72166 variants were already known and 33016 are new variants and were deposited in a database. The analysis of the set of gene variants significantly related (Padjusted <0.05) to extreme animals in conjunction with the predicted impact of the changes and the physiological role of protein product pointed to two candidate genes potentially related to racing performance: SLC3A1 on ECA15 and CCN6 on ECA10.

Compression of geometry videos by 3D-SPECK wavelet coder

A geometry video is formed as a sequence of geometry images where each frame is a remeshed form of a frame of an animated mesh sequence. For efficiently coding geometry videos by exploiting temporal as well spatial correlation at multiple scales, this paper proposes the 3D-SPECK algorithm which has been successfully applied to the coding of volumetric medical image data and hyperspectral image data in the past. The paper also puts forward several postprocessing operations on the reconstructed surfaces that compensate for the visual artifacts appearing in the form of undulations due to the loss of high-frequency wavelet coefficients, cracks near geometry image boundaries due to vertex coordinate quantization errors and serrations due to regular or quad splitting triangulation of local regions of large anisotropic geometric stretch. Experimental results on several animated mesh sequences demonstrate the superiority of the subjective and objective coding performances of the newly proposed approach to those of the commonly recognized animated mesh sequence coding approaches at low and medium coding rates.

Animating characters in Chinese painting using two-dimensional skeleton-based deformation

Chinese painting is always a kind of resource to explore ancient Chinese dynasties and the ideology of painters. Nowadays, more and more Chinese-antique museums have created corresponding animations from Chinese painting for representing daily life of ancient Chinese and providing immersive experience to attract visitors. However, it is not easy to produce animation sequences directly from Chinese paintings. It is laborious and time-consuming to build every motion of animated characters in Chinese painting. Since the irregular borders of characters in Chinese painting are torn and the connectivity of stroke line will be lost while implementing deformation. This research therefore presents a procedure of generating Chinese painting animation sequences to overcome these problems. It focuses on two technical issues: sample point processing and animation generation. Sample point distribution and allocation are the major tasks in sample pint processing. A point distribution method is proposed to preserve connectivity of stroke line of object and a weight scheme is implemented to decide control bone of individual sample points. For the stage of animation, the skeleton-based deformation is firstly used to generate key frames through user-provided skeleton. Then an interpolation method is exploited to create smooth animations. The proposed scheme could also be applied to multiple-character and multiple-skeleton animations.