Enhanced Signature-Based Video Browser

Blažek, Adam; Lokoč, Jakub; Matzner, Filip; Skopal, Tomáš

doi:10.1007/978-3-319-14442-9_22

Cited by 21 publications

(9 citation statements)

References 11 publications

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“…Out of the nine participating teams [3,5,11,22,27,35,37,39,51], six managed to score points during the competition. Further analysis of the logs showed that one of the three non-scoring teams managed to solve one of the tasks but submitted its data using a wrong format.…”

Section: Overview Of Resultsmentioning

confidence: 99%

“…The SIRET system [5] is a new version of the Signature-based Video Browser tool (SBVB) [33] that was successfully introduced at the Video Browser Showdown in 2014. The tool combines two orthogonal approaches -efficient filtering using simple color-based sketches and enhanced presentation/browsing of the results.…”

Section: Siretmentioning

confidence: 99%

“…Note that similarly to NII-UIT's tool, users were allowed to specify two consecutive sketches to improve the filtering power which seemed to be quite effective. Changes introduced to the tool in 2015 [5] were rather subtle, focusing the browsing part of the tool, such as compacting static scenes in order to save space etc.…”

Section: Development Of Interactive Video Search Toolsmentioning

confidence: 99%

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Interactive video search tools: a detailed analysis of the video browser showdown 2015

Cobârzan

Schoeffmann

Bailer

et al. 2016

Multimed Tools Appl

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Interactive video retrieval tools developed over the past few years are emerging as powerful alternatives to automatic retrieval approaches by giving the user more control as well as more responsibilities. Current research tries to identify the best combinations of image, audio and text features that combined with innovative UI design maximize the tools (2017) 76:5539-5571 performance. We present the last installment of the Video Browser Showdown 2015 which was held in conjunction with the International Conference on MultiMedia Modeling 2015 (MMM 2015) and has the stated aim of pushing for a better integration of the user into the search process. The setup of the competition including the used dataset and the presented tasks as well as the participating tools will be introduced . The performance of those tools will be thoroughly presented and analyzed. Interesting highlights will be marked and some predictions regarding the research focus within the field for the near future will be made.

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Section: Overview Of Resultsmentioning

confidence: 99%

Section: Siretmentioning

confidence: 99%

Section: Development Of Interactive Video Search Toolsmentioning

confidence: 99%

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Interactive video search tools: a detailed analysis of the video browser showdown 2015

Cobârzan

Schoeffmann

Bailer

et al. 2016

Multimed Tools Appl

Self Cite

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“…Their tool allows one to draw a color sketch for desired keyframes by defining concentric color circles of different size/priority to filter for matching keyframes, which are presented in a grouped way relative to the corresponding video file. A further version of their tool [Blazek et al 2015] also includes more flexible temporal filtering of color sketches as well as color-based navigation in the video archive. With that tool they could also win the VBS 2015 competition.…”

Section: Keyboard and Mousementioning

confidence: 99%

Video Interaction Tools

Schoeffmann

Hudelist

Huber³

2015

ACM Comput. Surv.

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Digital video enables manifold ways of multimedia content interaction. Over the last decade, many proposals for improving and enhancing video content interaction were published. More recent work particularly leverages on highly capable devices such as smartphones and tablets that embrace novel interaction paradigms, for example, touch, gesture-based or physical content interaction. In this article, we survey literature at the intersection of Human-Computer Interaction and Multimedia. We integrate literature from video browsing and navigation, direct video manipulation, video content visualization, as well as interactive video summarization and interactive video retrieval. We classify the reviewed works by the underlying interaction method and discuss the achieved improvements so far. We also depict a set of open problems that the video interaction community should address in future.

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“…Feature Signatures have already been used in a known item search tasks [12]. The authors have created an efficient and effective sketch-based retrieval system [4,5], where each keyframe is represented by a Feature Signature and users can query the database of Feature Signatures using simple signature-based sketches.…”

Section: Feature Signaturesmentioning

confidence: 99%

Visual Descriptors in Methods for Video Hyperlinking

Galuščáková

Batko

Čech

et al. 2017

Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval

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In this paper, we survey different state-of-the-art visual processing methods and utilize them in hyperlinking. Visual information, calculated using Features Signatures, SIMILE descriptors and convolutional neural networks (CNN), is utilized as similarity between video frames and used to find similar faces, objects and setting. Visual concepts in frames are also automatically recognized and textual output of the recognition is combined with search based on subtitles and transcripts. All presented experiments were performed in the Search and Hyperlinking 2014 MediaEval task and Video Hyperlinking 2015 TRECVid task.

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Enhanced Signature-Based Video Browser

Cited by 21 publications

References 11 publications

Interactive video search tools: a detailed analysis of the video browser showdown 2015

Interactive video search tools: a detailed analysis of the video browser showdown 2015

Video Interaction Tools

Visual Descriptors in Methods for Video Hyperlinking

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