Graph-Based Browsing for Large Video Collections

Barthel, Kai Uwe; Hezel, Nico; Mackowiak, Radek

doi:10.1007/978-3-319-14442-9_21

Cited by 13 publications

(6 citation statements)

References 2 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%

“…As visible in Table 1, some target clips showed quickly changing actions (e.g. tasks 1,3,6,7,8), only a few tasks -in particular 2 and 10 -showed scenes of longer duration, which are more distinct but proved hard to find.…”

Section: Expert Runmentioning

confidence: 99%

“…The HTW system [3] is a map-based browsing system for visually searching video clips in large collections. Based on ImageMap [4], it allows the user to navigate through a hierarchical-pyramid structure in which related scenes are arranged close to each other.…”

Section: Htwmentioning

confidence: 99%

“…Based on ImageMap [4], it allows the user to navigate through a hierarchical-pyramid structure in which related scenes are arranged close to each other. An extended version of ImageMap can be viewed online at www.picsbuffet.com.…”

Section: Htwmentioning

confidence: 99%

See 3 more Smart Citations

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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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: Expert Runmentioning

confidence: 99%

Section: Htwmentioning

confidence: 99%

Section: Htwmentioning

confidence: 99%

See 2 more Smart Citations

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

Cobârzan

Schoeffmann

Bailer

et al. 2016

Multimed Tools Appl

Self Cite

View full text Add to dashboard Cite

show abstract

“…With that tool they could also win the VBS 2015 competition. Barthel et al [2015] proposes the ImageMap system to browse millions of images by a hierarchically structured view that clusters images by their similarities. For the purpose of the VBS the authors use keyframes of the videos, which are clustered by similarity (e.g., by color), and then presented as a hierarchical tree map.…”

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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The MovieWall: A New Interface for Browsing Large Video Collections

Nefkens

Hürst

2021

MultiMedia Modeling

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Streaming services offer access to huge amounts of movie and video collections, resulting in the need for intuitive interaction designs. Yet, most current interfaces are focused on targeted search, neglecting support for interactive data exploration and prioritizing speed over experience. We present the MovieWall, a new interface that complements such designs by enabling users to randomly browse large movie collections. A pilot study proved the feasibility of our approach. We confirmed this observation with a detailed evaluation of an improved design, which received overwhelmingly positive subjective feedback; 80% of the subjects enjoyed using the application and even more stated that they would use it again. The study also gave insight into concrete characteristics of the implementation, such as the benefit of a clustered visualization.

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Graph-Based Browsing for Large Video Collections

Cited by 13 publications

References 2 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

The MovieWall: A New Interface for Browsing Large Video Collections

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