33 citations · 55 across the 8 of their papers we have counts for
8 papers
CNN-VWII: An Efficient Approach for Large-Scale Video Retrieval by Image Queries
Chengyuan Zhang, Yunwu Lin, Lei Zhu +3
This paper aims to solve the problem of large-scale video retrieval by a query image. Firstly, we define the problem of top- image to video query. Then, we combine the merits of…
SVS-JOIN: Efficient Spatial Visual Similarity Join over Multimedia Data
Chengyuan Zhang, Ruipeng Chen, Lei Zhu +3
In the big data era, massive amount of multimedia data with geo-tags has been generated and collected by mobile smart devices equipped with mobile communications module and positio…
Bidirectional Attentional Encoder-Decoder Model and Bidirectional Beam Search for Abstractive Summarization
Kamal Al-Sabahi, Zhang Zuping, Yang Kang
Sequence generative models with RNN variants, such as LSTM, GRU, show promising performance on abstractive document summarization. However, they still have some issues that limit t…
Efficient Multimedia Similarity Measurement Using Similar Elements
Chengyuan Zhang, Yunwu Lin, Lei Zhu +3
Online social networking techniques and large-scale multimedia systems are developing rapidly, which not only has brought great convenience to our daily life, but generated, collec…
Efficient Region of Visual Interests Search for Geo-multimedia Data
Chengyuan Zhang, Yunwu Lin, Lei Zhu +3
With the proliferation of online social networking services and mobile smart devices equipped with mobile communications module and position sensor module, massive amount of multim…
Efficient Continuous Top- Geo-Image Search on Road Network
Chengyuan Zhang, Kesheng Cheng, Lei Zhu +3
With the rapid development of mobile Internet and cloud computing technology, large-scale multimedia data, e.g., texts, images, audio and videos have been generated, collected, sto…
An Enhanced Latent Semantic Analysis Approach for Arabic Document Summarization
Kamal Al-Sabahi, Zuping Zhang, Jun Long +1
The fast-growing amount of information on the Internet makes the research in automatic document summarization very urgent. It is an effective solution for information overload. Man…
Latent Semantic Analysis Approach for Document Summarization Based on Word Embeddings
Kamal Al-Sabahi, Zhang Zuping, Yang Kang
Since the amount of information on the internet is growing rapidly, it is not easy for a user to find relevant information for his/her query. To tackle this issue, much attention h…