Integrating Audio-Visual Features and Text Information for Story Segmentation of News Video

Video data are composed of multimodal information streams including visual, auditory and textual streams, so an approach of story segmentation for news video using multimodal analysis is described in this paper. The proposed approach detects the topic-caption frames, and integrates them with silence clips detection results, as well as shot segmentation results to locate the news story boundaries. The integration of audio-visual features and text information overcomes the weakness of the approach using only image analysis techniques. On test data with 135 400 frames, when the boundaries between news stories are detected, the accuracy rate 85.8% and the recall rate 97.5% are obtained. The experimental results show the approach is valid and robust.

A Review on Audio-visual Translation Studies

This paper is dedicated to a thorough review on the audio-visual related translations from both home and abroad.In reviewing the foreign achievements on this specific field of translation studies it can shed some lights on our national audio-visual practice and research.The review on the Chinese scholars’ audio-visual translation studies is to offer the potential developing direction and guidelines to the studies and aspects neglected as well.Based on the summary of relevant studies,possible topics for further studies are proposed.

Audio-visual emotion recognition with multilayer boosted HMM

Emotion recognition has become an important task of modern human-computer interac- tion. A multilayer boosted HMM （ MBHMM ） classifier for automatic audio-visual emotion recognition is presented in this paper. A modified Baum-Welch algorithm is proposed for component HMM learn- ing and adaptive boosting （AdaBoost） is used to train ensemble classifiers for different layers （cues）. Except for the first layer, the initial weights of training samples in current layer are decided by recognition results of the ensemble classifier in the upper layer. Thus the training procedure using current cue can focus more on the difficult samples according to the previous cue. Our MBHMM clas- sifier is combined by these ensemble classifiers and takes advantage of the complementary informa- tion from multiple cues and modalities. Experimental results on audio-visual emotion data collected in Wizard of Oz scenarios and labeled under two types of emotion category sets demonstrate that our approach is effective and promising.

The Audio-Visual Performance Highlighted Craze in Chicago During Chinese New Year

February 10 (US Central Time), 2019, China National Peking Opera Company (CNPOC) and the Hubei Chime Bells National Chinese Orchestra presented a fantastic audio-visual performance of Chinese Peking Opera and Chinese chime bells for the American audience at the world s top-level Buntrock Hall at Symphony Center.

Research on National Identity Based on National Audio-Visual Works: Taking Inner Mongolia as an Example

Mongolian audio-visual works are an important carrier of exploring the true significance to this national culture.This paper believes that the Mongolian people in Inner Mongolia constantly enhance the individual sense of identity to the overall ethnic group through the influence of film and television and music,and on this basis constantly evolve a new culture in line with modern and contemporary life to further enhance their sense of belonging to the ethnic nation.

Application of Task-based Teaching Method to College Audio-visual English Teaching

Based on the current situation of college audio-visual English teaching in China, this article points out that the avoidance in class is a serious phenomenon in the process of college audio-visual English teaching. After further analysis and combination with the characteristics of college English audio-visual teaching in China, it puts forward the application of task-based teaching method to college audio-visual English teaching and its steps, attempting to alleviate the avoidance phenomenon in students through task-based teaching method.

Prioritized MPEG-4 Audio-Visual Objects Streaming over the DiffServ

The object-based scalable coding in MPEG-4 is investigated, and a prioritized transmission scheme of MPEG-4 audio-visual objects （AVOs） over the DiffServ network with the QoS guarantee is proposed. MPEG-4 AVOs are extracted and classified into different groups according to their priority values and scalable layers （visual importance）. These priority values are mapped to the 1P DiffServ per hop behaviors （PHB）. This scheme can selectively discard packets with low importance, in order to avoid the network congestion. Simulation results show that the quality of received video can gracefully adapt to network state, as compared with the ‘best-effort＇ manner. Also, by allowing the content provider to define prioritization of each audio-visual object, the adaptive transmission of object-based scalable video can be customized based on the content.

昆剧《诗宴·唐才子传》的主题意蕴与审美意象

江苏省演艺集团昆剧院创作的《诗宴·唐才子传》是一部案头场上兼善的昆剧作品,在主题未更改的前提下艺术质量经打磨不断提升。《诗宴·唐才子传》在主题意蕴上,通过三个维度阐释了富有哲理性的“如何相逢”;在审美意象上,主要表现为凉秋冷冬,而在此意象之下,该作品揭示的是人生勇敢向前的正确取向和优秀诗作皆是诗人心血之凝结的道理。

集会赋诗与刻石流传——以唐代为中心

集会赋诗场合下的作品有时会以刻石的形式流传。根据刊刻时间与刊刻动机的差异,刻石类型主要可以分为留念型刻石和追念型刻石。集会赋诗刻石作为纸本集会诗集的延伸,展现了集会诗文早期的流传形态,但也由于石刻载体的特殊性,呈现出与纸本集会诗集不同的特色。集会赋诗刻石虽然失去了可移动性,但却成为具有展示意味的纪念景观,带动了诗歌与风景的共生共存。集会赋诗刻石文本的著录与流传,反映了物质性与文本性交错的复杂面貌。

Self-supervised Learning for Speech Emotion Recognition Task Using Audio-visual Features and Distil Hubert Model on BAVED and RAVDESS Databases

Existing pre-trained models like Distil HuBERT excel at uncovering hidden patterns and facilitating accurate recognition across diverse data types, such as audio and visual information. We harnessed this capability to develop a deep learning model that utilizes Distil HuBERT for jointly learning these combined features in speech emotion recognition (SER). Our experiments highlight its distinct advantages: it significantly outperforms Wav2vec 2.0 in both offline and real-time accuracy on RAVDESS and BAVED datasets. Although slightly trailing HuBERT’s offline accuracy, Distil HuBERT shines with comparable performance at a fraction of the model size, making it an ideal choice for resource-constrained environments like mobile devices. This smaller size does come with a slight trade-off: Distil HuBERT achieved notable accuracy in offline evaluation, with 96.33% on the BAVED database and 87.01% on the RAVDESS database. In real-time evaluation, the accuracy decreased to 79.3% on the BAVED database and 77.87% on the RAVDESS database. This decrease is likely a result of the challenges associated with real-time processing, including latency and noise, but still demonstrates strong performance in practical scenarios. Therefore, Distil HuBERT emerges as a compelling choice for SER, especially when prioritizing accuracy over real-time processing. Its compact size further enhances its potential for resource-limited settings, making it a versatile tool for a wide range of applications.

Cogeneration of Innovative Audio-visual Content: A New Challenge for Computing Art

In recent years,computing art has developed rapidly with the in-depth cross study of artificial intelligence generated con-tent(AIGC)and the main features of artworks.Audio-visual content generation has gradually been applied to various practical tasks,including video or game score,assisting artists in creation,art education and other aspects,which demonstrates a broad application pro-spect.In this paper,we introduce innovative achievements in audio-visual content generation from the perspective of visual art genera-tion and auditory art generation based on artificial intelligence(Al).We outline the development tendency of image and music datasets,visual and auditory content modelling,and related automatic generation systems.The objective and subjective evaluation of generated samples plays an important role in the measurement of algorithm performance.We provide a cogeneration mechanism of audio-visual content in multimodal tasks from image to music and display the construction of specific stylized datasets.There are still many new op-portunities and challenges in the field of audio-visual synesthesia generation,and we provide a comprehensive discussion on them.

文化叙事与饮食共情:朱子家宴的具身意涵及其旅游融合

朱子家宴是福建省的省级非物质文化遗产项目,历史悠久且文化内涵丰富,是朱子文化的组成部分。作为地方饮食,武夷山市五夫镇朱子家宴选用当地乡土食材、采用传统烹饪技艺,具有养生滋补的饮食功能。通过分析旅游者“身体-感知-情境”的具身意涵,提出以民间叙事、纪录片叙事、短视频叙事等文化叙事形式推动旅游开发;重视朱子家宴饮食文化的“在地”和“飞地”空间开发;围绕“期许-事件-影响”建构饮食共情参与研学体验的EEI模型;开展“非遗文化进校园”、文化研学、餐饮体验、技艺培训等活态传承、创新运营活动等非遗保护实践,以期实现朱子家宴文旅融合的高质量发展。

基于扩展FEAST的大规模特征值求解问题研究

为了求解非线性特征值问题,在线性FEAST特征值算法的基础上,提出一种非线性FEAST扩展算法。通过将复平面分割为不相交的区域集合,计算每个区域的特征对。扩展算法使用与线性FEAST算法相同的一系列运算,通过修改围道积分来支持非线性特征值求解的固定移位集合和固定子空间维数。与线性FEAST算法相似,扩展算法可以通过并行求解额外的线性系统,改进数值围道积分或提升近似特征向量子空间的维数,从而提高非线性FEAST的收敛速度。通过三个计算模型问题验证了非线性FEAST算法的多项式特征值行为。

AV-FDTI:Audio-visual fusion for drone threat identification

In response to the evolving challenges posed by small unmanned aerial vehicles(UAVs),which have the potential to transport harmful payloads or cause significant damage,we present AV-FDTI,an innovative Audio-Visual Fusion system designed for Drone Threat Identification.AV-FDTI leverages the fusion of audio and omnidirectional camera feature inputs,providing a comprehensive solution to enhance the precision and resilience of drone classification and 3D localization.Specifically,AV-FDTI employs a CRNN network to capture vital temporal dynamics within the audio domain and utilizes a pretrained ResNet50 model for image feature extraction.Furthermore,we adopt a visual information entropy and cross-attention-based mechanism to enhance the fusion of visual and audio data.Notably,our system is trained based on automated Leica tracking annotations,offering accurate ground truth data with millimeter-level accuracy.Comprehensive comparative evaluations demonstrate the superiority of our solution over the existing systems.In our commitment to advancing this field,we will release this work as open-source code and wearable AV-FDTI design,contributing valuable resources to the research community.

Provision of nutrients after acute spinal cord injury: the implications of feast and famine

Traumatic spinal cord injury（SCI）often leaves patients with devastating neurological deficits.The traumatic event–or primary injury–can be due to mechanisms such as compression,distraction,shear,laceration or（rarely）even transection.Thereafter SCI patients are vulnerable to progressive,delayed damage as a result of secondary insults and secondary injury.Secondary insults such as hypoxia and hypotension occur at the level of the organism from a myriad of causes.

A Feast of Creativity

China’s creative industry went from strength to strength in 2010, declaring itself as a force to be reckoned with. Young creatives led the

Famous feasts

在中国，“饭桌文化”一直盛行，什么样的场合,酒桌上摆什么样的美食都有讲究有规矩。在历史上，外国人又是怎么个吃法呢？先让我们来看看下面这篇British TV’s Channel 4列出的有史以来最有名的晚餐TOP 10。

SHANGHAI Mode Lingerie 2010 A Splendid and Extravagant Visual Feast

As Asia’s lingerie & beachwear industry leaders,the 6th session of Shanghai Mode Lingerie aiming at creating the best international lingerie & beachwear pageant was held on October 19th-20th at the

Feast of History

Palace Museum were opened to the public on October 11, bringing the total accessible area of the emperor＇s previous residence up to 65 percent from 52 percent. Baoyun Lou, or the Hall of Embodied Treasures. was built to store cultural relics, Its cornbination of Chinese and Western architecture styles makes it a unique part of the former imperial complex. Cining Gong, or the Palace of Benevolent Peace.

A Folk Dance Feast

Botswanan dancers bring African vitality to Chinese audiences ON the evening of July 17,2011,the 20 young members of the Diwetse Cultural Group staged a feast of traditional Botswanan folk dances in Beijing.Between July 21 and August 4,they traveled to northwest China’s Xinjiang Uygur Autonomous Region where they performed at the Second