Signature-Based Video Browser

Lokoă, Jakub; Blažek, Adam; Skopal, Tomáš

doi:10.1007/978-3-319-04117-9_49

Cited by 28 publications

(9 citation statements)

References 4 publications

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“…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%

“…The tool which was introduced by SIRET team in 2014 [33] appeared quite different. Instead of complex processing pipelines, such as state-of-the-art concept detectors etc., the authors employed only one feature capturing color distribution of key-frames (so called feature signatures) together with convenient sketch drawings (apparently, NII-UIT adapted sketch drawings later on).…”

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: Siretmentioning

confidence: 99%

Section: Development Of Interactive Video Search Toolsmentioning

confidence: 99%

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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show abstract

“…1, top) and chronological segment browsing. Content analysis is done by, for example, using CNNs for concept detection and temporal feature signatures which in turn utilize a variant of the Signature Matching Distance for video shot comparisons [1,5]. The high performance of these search algorithms was demonstrated at the VBS 2016 competition [2] and newer tests done with an enhanced version of the system.…”

Section: System Description 21 Content-based Video Retrieval Figure mentioning

confidence: 99%

A New Tool for Collaborative Video Search via Content-based Retrieval and Visual Inspection

Hürst

Ching

Hudelist

et al. 2016

Proceedings of the 24th ACM International Conference on Multimedia

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We present a new approach for collaborative video search and video browsing relying on a combination of traditional, indexbased video retrieval complemented with large-scale human-based visual inspection. In particular, a traditional PC interface is used for query-based search using advanced indexing and querying methods (e.g., concept search), whereas a visualization of the database on a tablet is used for pure human-based browsing. Both parts are coupled to compensate for mutual disadvantages; human visual inspection allows for a better, more detailed analysis of the data -also bridging the semantic gap -but comes at the price of an unfiltered database -a disadvantage that is resolved by using the results from the query engine to change visualization order.

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“…The signature-based video browser tool from Loko et al [4] performed well in last year's VBS. In their approach, color regions and their position have been extracted from video frames and feature signatures are generated to represent those video frames offline.…”

Section: Color-based Retrievalmentioning

confidence: 99%

Interactive Known-Item Search Using Semantic Textual and Colour Modalities

Zhang

Albatal

Gurrin

et al. 2015

MultiMedia Modeling

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Abstract. In this paper, we propose an interactive video browser tool for our participation in the fourth video search showcase event. Learning from previous experience, this year we focused on building an advanced interactive interface which allows users to quickly generate and combine different styles of query to find relevant video segments. The system offers the user a comprehensive search interface which has as key features: keyword search, color-region search and human face filtering.

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Signature-Based Video Browser

Cited by 28 publications

References 4 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

A New Tool for Collaborative Video Search via Content-based Retrieval and Visual Inspection

Interactive Known-Item Search Using Semantic Textual and Colour Modalities

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