scholarly journals ASoVS: Abstractive Summarization of Video Sequences

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 29253-29263 ◽  
Author(s):  
Aniqa Dilawari ◽  
Muhammad Usman Ghani Khan
Keyword(s):  
Video Sequences ◽  
Abstractive Summarization

Detecting “DeepFakes” in H.264 Video Data Using Compression Ghost Artifacts

2020 ◽  
Vol 2020 (4) ◽  
pp. 116-1-116-7
Author(s):  
Raphael Antonius Frick ◽  
Sascha Zmudzinski ◽  
Martin Steinebach
Keyword(s):  
Image Forensics ◽  
Video Data ◽  
Experimental Results ◽  
Video Sequences ◽  
The Internet ◽  
Video Content ◽  
High Quality ◽  
The Public

In recent years, the number of forged videos circulating on the Internet has immensely increased. Software and services to create such forgeries have become more and more accessible to the public. In this regard, the risk of malicious use of forged videos has risen. This work proposes an approach based on the Ghost effect knwon from image forensics for detecting forgeries in videos that can replace faces in video sequences or change the mimic of a face. The experimental results show that the proposed approach is able to identify forgery in high-quality encoded video content.

Analyse des interactions didactiques lors de l’enseignement du football à l’école Tunisienne

2013 ◽  
Vol 22 (5-6) ◽  
pp. 387-404
Author(s):  
Guerchi Maher ◽  
Makram Zghibi
Keyword(s):  
Physical Education ◽  
Qualitative Methodology ◽  
Video Sequences ◽  
Physical Education Teacher ◽  
Education Teacher ◽  
Social Facts ◽  
Close Observation ◽  
The Impact

Abstract Our research focuses on describing what is really happening when a teacher wants to transmit to pupils - girls and boys - knowledge socially marked as masculine. To describe the processes involved in effective didactic interactions between a teacher a pupil and knowledge, we opted for qualitative methodology, consisting on a close observation of the didactic interactions of a teacher with his pupils (girls and boys). Analysis of the interviews focused especially on the nature of knowledge actually transmitted for girls and boys. The studied video sequences permitted to study the didactic interactions more precisely as are actually happening on the pitch. Both tools allowed us to identify the educational intentions of teachers (specialist or not); women or men in the teaching of football. The results show that teachers’ conceptions influence implicitly or explicitly the modalities of their interventions and the nature of football knowledge transmitted to pupils. This makes us think that the impact of social facts (backgrounds) on Tunisian teachers is great. This phenomenon may lock the physical education teacher in some representations modeling masculine and feminine stereotypes and affect his didactic and teaching contribution. Therefore, the teacher must be aware of the impact of the connotation that may have certain “masculine” practices on his interventions and consequently over the pupils learning (either boys or girls).

ОСОБЕННОСТИ АРХИТЕКТУРЫ И ОСНОВНЫЕ ХАРАКТЕРИСТИКИ АППАРАТНОГО ВИДЕОКОДЕКА СТАНДАРТА H.264 В СОСТАВЕ МИКРОСХЕМЫ 1892ВМ14Я

2020 ◽  
Vol 96 (3s) ◽  
pp. 89-96
Author(s):  
А.А. Беляев ◽  
Я.Я. Петричкович ◽  
Т.В. Солохина ◽  
И.А. Беляев
Keyword(s):  
Data Flow ◽  
System On Chip ◽  
Video Codec ◽  
Experimental Results ◽  
Video Sequences ◽  
Ip Core ◽  
Performance Measurements ◽  
Synchronization Mechanism ◽  
Architectural Features ◽  
On Chip

Рассмотрены особенности архитектуры и основные характеристики аппаратного видеокодека по стандарту H.264, входящего в состав микросхемы 1892ВМ14Я (MCom-02). Описан механизм синхронизации потоков данных на основе набора флагов событий. Приведены экспериментальные результаты измерения характеристик производительности разработанного видеокодека на реальных видеосюжетах при различных форматах передаваемого изображения. The paper considers main architectural features and characteristics of H.264 hardware video codec IP-core as a part of MCom- 02 system-on-chip (SoC). Bedides, it presents data flow synchronization mechanism based on event flags set, as well as experimental results of performance measurements for the designed video codec IP-core obtained for different video sequences and different image formats.

scholarly journals Impact of Scene Content on High Resolution Video Quality

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2872
Author(s):  
Miroslav Uhrina ◽  
Anna Holesova ◽  
Juraj Bienik ◽  
Lukas Sevcik
Keyword(s):  
Video Compression ◽  
Spatial Information ◽  
Video Quality ◽  
Video Sequences ◽  
Compression Efficiency ◽  
Opinion Score ◽  
Scene Description ◽  
Two Parameters ◽  
The University ◽  
The Impact

This paper deals with the impact of content on the perceived video quality evaluated using the subjective Absolute Category Rating (ACR) method. The assessment was conducted on eight types of video sequences with diverse content obtained from the SJTU dataset. The sequences were encoded at 5 different constant bitrates in two widely video compression standards H.264/AVC and H.265/HEVC at Full HD and Ultra HD resolutions, which means 160 annotated video sequences were created. The length of Group of Pictures (GOP) was set to half the framerate value, as is typical for video intended for transmission over a noisy communication channel. The evaluation was performed in two laboratories: one situated at the University of Zilina, and the second at the VSB—Technical University in Ostrava. The results acquired in both laboratories reached/showed a high correlation. Notwithstanding the fact that the sequences with low Spatial Information (SI) and Temporal Information (TI) values reached better Mean Opinion Score (MOS) score than the sequences with higher SI and TI values, these two parameters are not sufficient for scene description, and this domain should be the subject of further research. The evaluation results led us to the conclusion that it is unnecessary to use the H.265/HEVC codec for compression of Full HD sequences and the compression efficiency of the H.265 codec by the Ultra HD resolution reaches the compression efficiency of both codecs by the Full HD resolution. This paper also includes the recommendations for minimum bitrate thresholds at which the video sequences at both resolutions retain good and fair subjectively perceived quality.

Hits-based attentional neural model for abstractive summarization

2021 ◽  
pp. 106996
Author(s):  
Xiaoyan Cai ◽  
Kaile Shi ◽  
Yuehan Jiang ◽  
Libin Yang ◽  
Sen Liu
Keyword(s):  
Neural Model ◽  
Abstractive Summarization
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