NN
            <sup>k</sup>
            networks and automated annotation for browsing large image collections from the world wide web

Heesch, Daniel; Yavlinsky, Alexei; Rüger, Stefan

doi:10.1145/1180639.1180741

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…The FxPal MediaMagic [1] uses an innovative story board based interface for displaying results, and allows selected results as starting points for "find similar" queries. The uBase browser [12] combines even more forms of similarity based browsing. It combines hierarchical, temporal and lateral browsing together.…”

Section: Visualization Methods For Video Searchmentioning

confidence: 99%

Balancing thread based navigation for targeted video search

Rooij

Snoek

Worring

2008

Proceedings of the 2008 International Conference on Content-Based Image and Video Retrieval

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Various query methods for video search exist. Because of the semantic gap each method has its limitations. We argue that for effective retrieval query methods need to be combined at retrieval time. However, switching query methods often involves a change in query and browsing interface, which puts a heavy burden on the user. In this paper, we propose a novel method for fast and effective search trough large video collections by embedding multiple query methods into a single browsing environment. To that end we introduced the notion of query threads, which contain a shot-based ranking of the video collection according to some feature-based similarity measure. On top of these threads we define several thread-based visualizations, ranging from fast targeted search to very broad exploratory search, with the ForkBrowser as the balance between fast search and video space exploration. We compare the effectiveness and efficiency of the ForkBrowser with the CrossBrowser on the TRECVID 2007 interactive search task. Results show that different query methods are needed for different types of search topics, and that the ForkBrowser requires significantly less user interactions to achieve the same result as the CrossBrowser. In addition, both browsers rank among the best interactive retrieval systems currently available.

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Section: Visualization Methods For Video Searchmentioning

confidence: 99%

Balancing thread based navigation for targeted video search

Rooij

Snoek

Worring

2008

Proceedings of the 2008 International Conference on Content-Based Image and Video Retrieval

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“…Heesch notes the importance of automated annotation for searching and browsing large image collections [12]. Wang selects candidate tags and determines which tags are suitable using the visual content of the image [18].…”

Section: Related Workmentioning

confidence: 99%

Resolving tag ambiguity

Weinberger

Slaney

Zwol

2008

Proceedings of the 16th ACM International Conference on Multimedia

101

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Tagging is an important way for users to succinctly describe the content they upload to the Internet. However, most tagsuggestion systems recommend words that are highly correlated with the existing tag set, and thus add little information to a user's contribution. This paper describes a means to determine the ambiguity of a set of (user-contributed) tags and suggests new tags that disambiguate the original tags. We introduce a probabilistic framework that allows us to find two tags that appear in different contexts but are both likely to co-occur with the original tag set. If such tags can be found, the current description is considered "ambiguous" and the two tags are recommended to the user for further clarification. In contrast to previous work, we only query the user when information is most needed and good suggestions are available. We verify the efficacy of our approach using geographical, temporal and semantic metadata, and a user study. We built our system using statistics from a large (100M) database of images and their tags.

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“…Due to the semantic gap between the low-level visual features and the high-level human interpretation of image semantics, visualization is becoming very important for users to assess the diverse visual similarities between the images interactively [6,8,9,11]. Visualization is also very important to enable interactive exploration of the image summaries.…”

Section: Related Workmentioning

confidence: 99%

A novel approach to enable semantic and visual image summarization for exploratory image search

Fan

Gao

Luo

et al. 2008

Proceedings of the 1st ACM International Conference on Multimedia Information Retrieval

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In this paper, we have developed a novel scheme to incorporate topic network and representativeness-based sampling for achieving semantic and visual summarization and visualization of large-scale collections of Flickr images. First, topic network is automatically generated for summarizing and visualizing large-scale collections of Flickr images at a semantic level, so that users can select more suitable keywords for more precise query formulation. Second, the diverse visual similarities between the semantically-similar images are characterized more precisely by using a mixture-of-kernels and a representativeness-based image sampling algorithm is developed to achieve similarity-based summarization and visualization of large amounts of images under the same topic, so that users can find some particular images of interest more effectively. Our experiments on large-scale image collections with diverse semantics have provided very positive results.

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NN ^k networks and automated annotation for browsing large image collections from the world wide web

Cited by 7 publications

References 4 publications

Balancing thread based navigation for targeted video search

Balancing thread based navigation for targeted video search

Resolving tag ambiguity

A novel approach to enable semantic and visual image summarization for exploratory image search

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NN k networks and automated annotation for browsing large image collections from the world wide web

Cited by 7 publications

References 4 publications

Balancing thread based navigation for targeted video search

Balancing thread based navigation for targeted video search

Resolving tag ambiguity

A novel approach to enable semantic and visual image summarization for exploratory image search

Contact Info

Product

Resources

About

NN ^k networks and automated annotation for browsing large image collections from the world wide web