27,064 research outputs found
Video Summarization Using Deep Neural Networks: A Survey
Video summarization technologies aim to create a concise and complete
synopsis by selecting the most informative parts of the video content. Several
approaches have been developed over the last couple of decades and the current
state of the art is represented by methods that rely on modern deep neural
network architectures. This work focuses on the recent advances in the area and
provides a comprehensive survey of the existing deep-learning-based methods for
generic video summarization. After presenting the motivation behind the
development of technologies for video summarization, we formulate the video
summarization task and discuss the main characteristics of a typical
deep-learning-based analysis pipeline. Then, we suggest a taxonomy of the
existing algorithms and provide a systematic review of the relevant literature
that shows the evolution of the deep-learning-based video summarization
technologies and leads to suggestions for future developments. We then report
on protocols for the objective evaluation of video summarization algorithms and
we compare the performance of several deep-learning-based approaches. Based on
the outcomes of these comparisons, as well as some documented considerations
about the suitability of evaluation protocols, we indicate potential future
research directions.Comment: Journal paper; Under revie
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey
Recently, various neural encoder-decoder models pioneered by Seq2Seq
framework have been proposed to achieve the goal of generating more abstractive
summaries by learning to map input text to output text. At a high level, such
neural models can freely generate summaries without any constraint on the words
or phrases used. Moreover, their format is closer to human-edited summaries and
output is more readable and fluent. However, the neural model's abstraction
ability is a double-edged sword. A commonly observed problem with the generated
summaries is the distortion or fabrication of factual information in the
article. This inconsistency between the original text and the summary has
caused various concerns over its applicability, and the previous evaluation
methods of text summarization are not suitable for this issue. In response to
the above problems, the current research direction is predominantly divided
into two categories, one is to design fact-aware evaluation metrics to select
outputs without factual inconsistency errors, and the other is to develop new
summarization systems towards factual consistency. In this survey, we focus on
presenting a comprehensive review of these fact-specific evaluation methods and
text summarization models.Comment: 9 pages, 5 figure
Comprehensive Review of Opinion Summarization
The abundance of opinions on the web has kindled the study of opinion summarization over the last few years. People have introduced various techniques and paradigms to solving this special task. This survey attempts to systematically investigate the different techniques and approaches used in opinion summarization. We provide a multi-perspective classification of the approaches used and highlight some of the key weaknesses of these approaches. This survey also covers evaluation techniques and data sets used in studying the opinion summarization problem. Finally, we provide insights into some of the challenges that are left to be addressed as this will help set the trend for future research in this area.unpublishednot peer reviewe
Text Summarization Techniques: A Brief Survey
In recent years, there has been a explosion in the amount of text data from a
variety of sources. This volume of text is an invaluable source of information
and knowledge which needs to be effectively summarized to be useful. In this
review, the main approaches to automatic text summarization are described. We
review the different processes for summarization and describe the effectiveness
and shortcomings of the different methods.Comment: Some of references format have update
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