scholarly journals A Meaningful Compact Key Frames Extraction in Complex Video Shots

2017 ◽  
Vol 7 (3) ◽  
pp. 818
Author(s):  
Manar Abduljabbar Mizher ◽  
Mei Choo Ang ◽  
Ahmad Abdel Jabbar Mazhar
Keyword(s):  
State Of The Art ◽  
The State ◽  
Worst Case ◽  
Key Frame Extraction ◽  
Key Frame ◽  
Easy Problem ◽  
Extraction Algorithm ◽  
Key Frames ◽  
High Level ◽  
The Relationship

Key frame extraction is an essential technique in the computer vision field. The extracted key frames should brief the salient events with an excellent feasibility, great efficiency, and with a high-level of robustness. Thus, it is not an easy problem to solve because it is attributed to many visual features. This paper intends to solve this problem by investigating the relationship between these features detection and the accuracy of key frames extraction techniques using TRIZ. An improved algorithm for key frame extraction was then proposed based on an accumulative optical flow with a self-adaptive threshold (AOF_ST) as recommended in TRIZ inventive principles. Several video shots including original and forgery videos with complex conditions are used to verify the experimental results. The comparison of our results with the-state-of-the-art algorithms results showed that the proposed extraction algorithm can accurately brief the videos and generated a meaningful compact count number of key frames. On top of that, our proposed algorithm achieves 124.4 and 31.4 for best and worst case in KTH dataset extracted key frames in terms of compression rate, while the the-state-of-the-art algorithms achieved 8.90 in the best case.

Masking Models and Watermarking

2011 ◽  
pp. 93-116
Author(s):  
Mirko Luca Lobina ◽  
Luigi Atzori ◽  
Davide Mula
Keyword(s):  
Signal Processing ◽  
Intellectual Property ◽  
State Of The Art ◽  
The State ◽  
Audio Watermarking ◽  
Digital Right Management ◽  
The Future ◽  
Psychological Models ◽  
High Level ◽  
The Relationship

Many audio watermarking techniques presented in the last years make use of masking and psychological models derived from signal processing. Such a basic idea is winning because it guarantees a high level of robustness and bandwidth of the watermark as well as fidelity of the watermarked signal. This chapter first describes the relationship between digital right management, intellectual property, and use of watermarking techniques. Then, the crossing use of watermarking and masking models is detailed, providing schemes, examples, and references. Finally, the authors present two strategies that make use of a masking model, applied to a classic watermarking technique. The joint use of classic frameworks and masking models seems to be one of the trends for the future of research in watermarking. Several tests on the proposed strategies with the state of the art are also offered to give an idea of how to assess the effectiveness of a watermarking technique.

Masking Models and Watermarking

2011 ◽  
pp. 30-63
Author(s):  
Mirko Luca Lobina ◽  
Daniele D. Giusto ◽  
Davide Mula
Keyword(s):  
Signal Processing ◽  
Intellectual Property ◽  
State Of The Art ◽  
The State ◽  
Audio Watermarking ◽  
Digital Right Management ◽  
Psychological Models ◽  
High Level ◽  
The Relationship ◽  
Work First

Many audio watermarking techniques, presented in the last years, make use of masking and psychological models derived from signal processing. Such a basic idea is winning because it guarantees a high level of robustness and bandwidth of the watermark as well as fidelity of the watermarked signal. This work first describes the relationship between Digital Right Management, Intellectual Property, and use of watermarking techniques. Then, the crossing use of watermarking and Masking Models is detailed, providing schemes, examples, and references. Finally, the authors present two strategies that make use of a Masking Model, applied to a classic watermarking technique. The joint use of classic frameworks and Masking Models seems to be one of the trends for the future of research in watermarking. Several tests on the proposed strategies with the state of the art are also offered to give an idea of how to assess the effectiveness of a watermarking technique.

A New Algorithm of Video Key Frame Extraction Based on the Block of Frame Image

2012 ◽  
Vol 532-533 ◽  
pp. 1670-1674
Author(s):  
Hong Cai Feng ◽  
Yong Gong ◽  
Wei Gang Hu
Keyword(s):  
Correlation Coefficient ◽  
Extraction Efficiency ◽  
Image Block ◽  
Key Frame Extraction ◽  
Image Frame ◽  
Key Frame ◽  
Local Characteristics ◽  
Extraction Algorithm ◽  
Key Frames ◽  
The Stability

In order to improve the stability and effectiveness of the key frame extraction, we devise a key frame extraction algorithm based on frame image block. It get the local characteristics of the image frame information by partitioning frame image, then calculate the non-correlation coefficient, and extract key frames reflecting more diversified information. Experimental results show that the algorithm for the lens of key frames of extraction efficiency is higher and extraction of key frames can effectively reflect lens content.

scholarly journals Large-Scale Video Retrieval via Deep Local Convolutional Features

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Chen Zhang ◽  
Bin Hu ◽  
Yucong Suo ◽  
Zhiqiang Zou ◽  
Yimu Ji
Keyword(s):  
Large Scale ◽  
Video Retrieval ◽  
Video Data ◽  
Query Image ◽  
Key Frame Extraction ◽  
Key Frame ◽  
Storage Cost ◽  
Extraction Algorithm ◽  
Feature Aggregation ◽  
And Storage

In this paper, we study the challenge of image-to-video retrieval, which uses the query image to search relevant frames from a large collection of videos. A novel framework based on convolutional neural networks (CNNs) is proposed to perform large-scale video retrieval with low storage cost and high search efficiency. Our framework consists of the key-frame extraction algorithm and the feature aggregation strategy. Specifically, the key-frame extraction algorithm takes advantage of the clustering idea so that redundant information is removed in video data and storage cost is greatly reduced. The feature aggregation strategy adopts average pooling to encode deep local convolutional features followed by coarse-to-fine retrieval, which allows rapid retrieval in the large-scale video database. The results from extensive experiments on two publicly available datasets demonstrate that the proposed method achieves superior efficiency as well as accuracy over other state-of-the-art visual search methods.

scholarly journals Within and Between Shot Information Utilisation in Video Key Frame Extraction

2011 ◽  
Vol 10 (03) ◽  
pp. 247-259 ◽  
Author(s):  
Dianting Liu ◽  
Mei-Ling Shyu ◽  
Chao Chen ◽  
Shu-Ching Chen
Keyword(s):  
Extraction Method ◽  
Video Sequence ◽  
Video Retrieval ◽  
Video Browsing ◽  
High Quality ◽  
Key Frame Extraction ◽  
Key Frame ◽  
Video Shot ◽  
Key Frames ◽  
Candidate Set

In consequence of the popularity of family video recorders and the surge of Web 2.0, increasing amounts of videos have made the management and integration of the information in videos an urgent and important issue in video retrieval. Key frames, as a high-quality summary of videos, play an important role in the areas of video browsing, searching, categorisation, and indexing. An effective set of key frames should include major objects and events of the video sequence, and should contain minimum content redundancies. In this paper, an innovative key frame extraction method is proposed to select representative key frames for a video. By analysing the differences between frames and utilising the clustering technique, a set of key frame candidates (KFCs) is first selected at the shot level, and then the information within a video shot and between video shots is used to filter the candidate set to generate the final set of key frames. Experimental results on the TRECVID 2007 video dataset have demonstrated the effectiveness of our proposed key frame extraction method in terms of the percentage of the extracted key frames and the retrieval precision.

Ostatni będą pierwszymi? LNG w polityce energetycznej Rosji

2020 ◽  
Vol 18 (4) ◽  
pp. 97-120
Author(s):  
Szymon Kardaś
Keyword(s):  
Energy Markets ◽  
The State ◽  
External Energy ◽  
State Budget ◽  
Russian State ◽  
Internal Structures ◽  
Constant State ◽  
High Level ◽  
The Relationship

The purpose of the article is to analyze the current condition and development prospects for the Russian LNG sector. Taking into account the specifics of the functioning of the Russian state, the author chose the realistic paradigm (neoclassical realism), which is useful in the context of showing the relationship between internal structures and external activity of the state. The author argues that Russian expansion in the LNG sector is the result of the lobbying capacity of Novatek – the largest private gas producer in Russia. Although the state budget incurs significant costs related to the implementation of Novatek projects, in particular due to fiscal preferences, it also achieves the possibility of achieving the objectives in external and internal energy policy. Novatek’s expansion increases Russia’s share in external energy markets; at the same time LNG expansion, it is used for internal purposes. Novatek’s dominant position in the LNG sector is confirmed by both already implemented projects and plans for further expansion. The factors favoring Russian expansion are constant state support for Novatek projects, high level of internationalization of implemented projects and favorable forecasts on energy markets. The strong competition between currently dominant LNG producers and the risk of internal competition between Russian exporters are among the key long-term challenges.

A Novel Framework for Efficient Extraction of Meaningful Key Frames From Surveillance Video

2019 ◽  
pp. 342-359
Author(s):  
Suresh Chandra Raikwar ◽  
Charul Bhatnagar ◽  
Anand Singh Jalal
Keyword(s):  
Computational Cost ◽  
Extraction Methods ◽  
Surveillance Video ◽  
Distribution Method ◽  
Color Distribution ◽  
Key Frame Extraction ◽  
Key Frame ◽  
Efficient Extraction ◽  
Key Frames ◽  
Edge Histogram

The key frame extraction, aimed at reducing the amount of information from a surveillance video for analysis by human. The key frame is an important frame of a video to provide an overview of the video. Extraction of key frames from surveillance video is of great interest in effective monitoring and later analysis of video. The computational cost of the existing methods of key frame extraction is very high. The proposed method is a framework for Key frame extraction from a long surveillance video with significantly reduced computational cost. The proposed framework incorporates human intelligence in the process of key frame extraction. The results of proposed framework are compared with the results of IMARS (IBM multimedia analysis and retrieval system), results of the key frame extraction methods based on entropy difference method, spatial color distribution method and edge histogram descriptor method. The proposed framework has been objectively evaluated by fidelity. The experimental results demonstrate evidence of the effectiveness of the proposed approach.

The role of sustainability in the relationship between migration and smart cities: a bibliometric review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Mohamad Mouazen ◽  
Ana Beatriz Hernández-Lara
Keyword(s):  
State Of The Art ◽  
Smart Cities ◽  
Developed Countries ◽  
The State ◽  
Social Dimension ◽  
Content Type ◽  
Bibliometric Review ◽  
And Migration ◽  
The Relationship

Purpose Smart cities attract efficient and profitable economic activities, contribute to the societal welfare of their citizens and foster the efficient use and conservation of natural resources. Developing smart cities has become a priority for many developed countries, but as they are preferred destinations for migrants, this raises sustainability issues. They attract people who are seeking a better quality of life, smart services and solutions, a better environment and business activities. The purpose of this paper is to review the state of the art on the relationship between smart cities and migration, with a view to determining sustainability. Design/methodology/approach A bibliometric review and text mining analyses were conducted on publications between 2000 and 2019. Findings The results determined the main parameters of this research topic in terms of its growth, top journals and articles. The role of sustainability in the relationship between smart cities and migration is also identified, highlighting the special interest of its social dimension. Originality/value A bibliometric approach has not been used previously to investigate the link between smart cities and migration. However, given the current relevance of both phenomena, their emergence and growth, this approach is appropriate in determining the state of the art and its main descriptors, with special emphasis on the sustainability implications.

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