Do you want to publish a course? Click here

Video Transport Improvement over MANET

تحسين نقل الفيديو عبر الشبكات المخصصة النقالة MANET

1863   1   87   0 ( 0 )
 Publication date 2011
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

Real-time multimedia transport over MANET has stringent bandwidth, delay, and loss requirements. It is a great challenge to support such applications in wireless ad hoc networks, which are characterized by frequent link failures, congestion, and lack of central administration.

References used
H. Zhou,” A Survey on Routing Protocols in MANETs” Michigan State University, Technical Report: MSU-CSE-03-08, Mar 28, 2003
John G. Apostolopoulos, Wai-tian Tan, Susie J. Wee,” video streaming: concepts, algorithms, and systems”, Mobile and Media Systems Laboratory, HP Laboratories Palo Alto September 18th, 2002
S. Mao, S. Lin, Y. Wang, and E. Celebi, “Video transport over ad hoc networks: Multistream coding with multipath transport,” in IEEE Journal of Selected Areas in Communications, ser. 10, vol. 21, December 2003, pp. 1721–1737
rate research

Read More

A Mobile Ad hoc Network (MANET) is a network of wireless mobile devices deployed without the aid of any pre-existing infrastructure or centralized administration.
Ad-hoc networks has opened a new dimension in wireless networks. It allows wireless communication in the absence of central support of the contract. In these networks, there are no fixed infrastructure because the mobile nodes are continuously mak ing continuous and dynamic change in the topology. Routing protocols of mobile ad-hoc networks differ from the existing internet protocols which are designed for the fixed structure based wireless networks. MANET protocols have to face high challenges due to dynamically changing of topologies, low transmission power and asymmetric links. Due to link instability, node mobility and frequently changing topologies routing becomes one of the core issues in MANETs. Currently existent routing protocols provide routing solutions up to a certain level and most of them are designed and implemented in small areas. Many researchers are still working on the developments of MANET routing protocols. With the increase in the types of routing protocols used in mobile network it has become necessary to study the effectiveness of each type of protocols In this papper we compared between the most famous species (proactive, Reactive, hybrid) and choose a protocol to be representative of all species previously mentioned and the network performance assessment each type in terms of Throughput, dynamic routing routing, load, delay and determine which of these protocols appropriate for each case.
Multilingual question answering over knowledge graph (KGQA) aims to derive answers from a knowledge graph (KG) for questions in multiple languages. To be widely applicable, we focus on its zero-shot transfer setting. That is, we can only access train ing data in a high-resource language, while need to answer multilingual questions without any labeled data in target languages. A straightforward approach is resorting to pre-trained multilingual models (e.g., mBERT) for cross-lingual transfer, but there is a still significant gap of KGQA performance between source and target languages. In this paper, we exploit unsupervised bilingual lexicon induction (BLI) to map training questions in source language into those in target language as augmented training data, which circumvents language inconsistency between training and inference. Furthermore, we propose an adversarial learning strategy to alleviate syntax-disorder of the augmented data, making the model incline to both language- and syntax-independence. Consequently, our model narrows the gap in zero-shot cross-lingual transfer. Experiments on two multilingual KGQA datasets with 11 zero-resource languages verify its effectiveness.
Video Question Answering (VidQA) evaluation metrics have been limited to a single-word answer or selecting a phrase from a fixed set of phrases. These metrics limit the VidQA models' application scenario. In this work, we leverage semantic roles deri ved from video descriptions to mask out certain phrases, to introduce VidQAP which poses VidQA as a fill-in-the-phrase task. To enable evaluation of answer phrases, we compute the relative improvement of the predicted answer compared to an empty string. To reduce the influence of language bias in VidQA datasets, we retrieve a video having a different answer for the same question. To facilitate research, we construct ActivityNet-SRL-QA and Charades-SRL-QA and benchmark them by extending three vision-language models. We perform extensive analysis and ablative studies to guide future work. Code and data are public.
Live video comments, or ''danmu'', are an emerging feature on Asian online video platforms. Danmu are time-synchronous comments that are overlaid on a video playback. These comments uniquely enrich the experience and engagement of their users. These comments have become a determining factor in the popularity of the videos. Similar to the ''cold start problem'' in recommender systems, a video will only start to attract attention when sufficient danmu comments have been posted on it. We study this video cold start problem and examine how new comments can be generated automatically on less-commented videos. We propose to predict the danmu comments by exploiting a multi-modal combination of the video visual content, subtitles, audio signals, and any surrounding comments (when they exist). Our method fuses these multi-modalities in a transformer network which is then trained for different comment density scenarios. We evaluate our proposed system through both a retrieval based evaluation method, as well as human judgement. Results show that our proposed system improves significantly over state-of-the-art methods.
comments
Fetching comments Fetching comments
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا