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Improving Diversity in Image Search via Supervised Relevance Scoring
2015
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval - ICMR '15
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While relevance has drastically improved in recent years, diversity is still an open problem. ...
Results returned by commercial image search engines should include relevant and diversified depictions of queries in order to ensure good coverage of users' information needs. ...
performance. • We show that relevance scoring accuracy can be significantly improved by exploiting relevance annotations and performing the scoring in a supervised manner. • We evaluate supervised relevance ...
doi:10.1145/2671188.2749334
dblp:conf/mir/XioufisPGPKV15
fatcat:tuipupyennb35e2e4km36gehf4
Dense-Caption Matching and Frame-Selection Gating for Temporal Localization in VideoQA
[article]
2020
arXiv
pre-print
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Dynamic spatio-temporal relationships between people/objects, and diverse multimodal events are present in a video clip. ...
better supervise the model with human importance annotations. ...
The views, opinions, and/or findings contained in this article are those of the authors and should not be interpreted as representing the official views or policies, either expressed or implied, of the ...
arXiv:2005.06409v1
fatcat:xvjyiheaevc5phpruyt4ixil2q
Tag relevance fusion for social image retrieval
2014
Multimedia Systems
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2014 pre-print arXiv:1410.3462v1 fatcat:prvzh6hrsvhkrhc5jpuqbo3yli
We present a systematic study, covering tag relevance fusion in early and late stages, and in supervised and unsupervised settings. ...
Experiments on a large present-day benchmark set show that tag relevance fusion leads to better image retrieval. ...
propose to improve tag-based image search by visual-text joint hypergraph learning [7, 8] . ...
doi:10.1007/s00530-014-0430-9
fatcat:5z36n5pbjffmjc2aw3n3bamx5u
Search-based automatic image annotation via Flickr photos using tag expansion
2010
2010 IEEE International Conference on Acoustics, Speech and Signal Processing
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To tackle such challenges, we propose a novel solution in three folds: (1) a tag expansion method to solve the sparsity of user-contributed tags; (2) improving tag relevance estimation by visual consistency ...
In this work, we argue automatic image annotation by search over user-contributed photo sites (e.g., Flickr), which have accumulated rich human knowledge and billions of photos. ...
Some previous works [1, 2] in (supervised) image categorization and classification are first proposed to annotate images. ...
doi:10.1109/icassp.2010.5496215
fatcat:6ysc67uoejgx3i4bdosuuoztlu
Image Relevance Prediction Using Query-Context Bag-of-Object Retrieval Model
2014
IEEE transactions on multimedia
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On the contrary, TOP_5_R only focus on image relevance but obtains low diversity score because there are too many duplicate images in the summarization. ...
That is, to solve the image search reranking problem in a supervised way. ...
doi:10.1109/tmm.2014.2326836
fatcat:nrx3gx7kkrep5kwhceravor7iy
Image Search Reranking With Hierarchical Topic Awareness
2015
IEEE Transactions on Cybernetics
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TARerank describes the hierarchical topic structure of search results in one model, and seamlessly captures both relevance and diversity of the image search results simultaneously. ...
Most of the traditional reranking methods cannot capture both relevance and diversity of the search results at the same time. Or they ignore the hierarchical topic structure of search result. ...
BR improves the relevance of Text, while sacrificing diversity. Two-step method MMR-BR improves diversity and relevance in two separate steps and the errors are easily accumulated. ...
doi:10.1109/tcyb.2014.2366740
pmid:25616090
fatcat:btrfqvgbmfhbnhcouyt4ytv2xq
Image Tagging With Social Assistance
2018
International Journal of Trend in Scientific Research and Development
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In this paper, we advocate a topic diverse ranking method for tag-primarily based photo retrieval with the eye of selling the situation insurance overall performance. ...
Tag-primarily based definitely image are seeking for is an essential method to find photos shared with the aid of manner of clients in social networks. ...
Furthermore, a quantitative criterion called diversity scores (DS) is proposed to evaluate the improvement. ...
doi:10.31142/ijtsrd14566
fatcat:hejrlm66ajg4bdbthx642kor4a
Video search reranking via online ordinal reranking
2008
2008 IEEE International Conference on Multimedia and Expo
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When evaluated in TRECVID search benchmark, ordinal reranking, while being extremely efficient, outperforms existing methods and offers 35.6% relative improvement over the text-based search baseline in ...
The approach, ordinal reranking, reranks an initial search list by utilizing the co-occurrence patterns via the ranking functions such as ListNet. ...
Reranking is then made by reordering the shots with high search scores linearly fused by these relevant concepts. ...
doi:10.1109/icme.2008.4607427
dblp:conf/icmcs/YangH08
fatcat:wjmbfhsr4zc4pevpxvlvdyqqmy
Joint Image Captioning and Question Answering
[article]
2018
arXiv
pre-print
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Meanwhile, image captioning systems with beam search strategy tend to generate similar captions and fail to diversely describe images. ...
supervision from answers. ...
However, deep network systems still tend to generate similar captions with beam search strategy failing to diversely describe the images (Vijayakumar et al., 2016) . ...
arXiv:1805.08389v1
fatcat:cnjknisqcrd4pfyxgmioniuj2a
Query-adaptive Video Summarization via Quality-aware Relevance Estimation
[article]
2017
arXiv
pre-print
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Furthermore, we introduce a new dataset, annotated with diversity and query-specific relevance labels. ...
Although the problem of automatic video summarization has recently received a lot of attention, the problem of creating a video summary that also highlights elements relevant to a search query has been ...
ACKNOWLEDGEMENTS is work has been supported by Toyota via the project TRACE-Zurich. We also acknowledge the support by the CHIST-ERA project MUSTER. ...
arXiv:1705.00581v2
fatcat:w3sijnp4bnev3a4qng3n2oqqma
You Reap What You Sow: Using Videos to Generate High Precision Object Proposals for Weakly-Supervised Object Detection
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Our W-RPN proposals lead to significant improvement in performance for state-of-the-art weakly-supervised object detection approaches on PASCAL VOC 2007 and ...
Existing weakly-supervised detection approaches use off-the-shelf proposal methods like edge boxes or selective search to obtain candidate boxes. ...
This work was supported in part by NSF CAREER IIS-1751206, IIS-1748387, AWS ML Research Award, Google Cloud Platform research credits program, and GPUs donated by NVIDIA. ...
doi:10.1109/cvpr.2019.00964
dblp:conf/cvpr/SinghL19
fatcat:yecmw2pavvagfc6u4kh5mnvy5e
Query-adaptive Video Summarization via Quality-aware Relevance Estimation
2017
Proceedings of the 2017 ACM on Multimedia Conference - MM '17
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Furthermore, we introduce a new dataset, annotated with diversity and query-speci c relevance labels. ...
Although the problem of automatic video summarization has recently received a lot of a ention, the problem of creating a video summary that also highlights elements relevant to a search query has been ...
Clickture is a large dataset consisting of queries and retrieved images from Bing Image search. e annotation is in form of triplets (K, Q, C) meaning that the image K was clicked C times in the search ...
doi:10.1145/3123266.3123297
dblp:conf/mm/VasudevanGVG17
fatcat:lqe6pebxezc3bbvncz6wmiovla
Improving Generative Visual Dialog by Answering Diverse Questions
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)
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To improve this, we devise a simple auxiliary objective that incentivizes Q-BOT to ask diverse questions, thus reducing repetitions and in turn enabling A-BOT to explore a larger state space during RL ...
fewer conflicting exchanges), fluent (i.e. more humanlike), and detailed, while still being comparably image-relevant as prior work and ablations. ...
The Georgia Tech effort is supported in part by NSF, AFRL, DARPA, ONR YIPs, ARO PECASE. AD is supported in part by fellowships from Facebook, Adobe, and Snap Inc. ...
doi:10.18653/v1/d19-1152
dblp:conf/emnlp/MurahariCBPD19
fatcat:35dt2n4qa5govetclxcjw63kqe
Special issue on "visual semantic analysis with weak supervision"
2017
Multimedia Systems
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In "Graph-based Clustering and Ranking for Diversified Image Search", Yan et al. described a novel framework for Web image search results clustering and re-ranking, the goal is to improve diversity at ...
In "Tag Relevance Fusion for Social Image Retrieval", Li et al. presented a systematic study, covering tag relevance fusion in the early and late stages, and in supervised and unsupervised settings. ...
doi:10.1007/s00530-016-0527-4
fatcat:72hcjiiwfzbk7mdrsumuia7rzy
ContextSeer
2008
Proceeding of the 16th ACM international conference on Multimedia - MM '08
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To tackle these issues, a novel search system, ContextSeer, is developed to improve search quality (by reranking) and recommend supplementary information (i.e., search-related tags and canonical images ...
Second, to represent the diversity of search result, we propose an efficient algorithm cannoG to select multiple canonical images without clustering. ...
in image/video search and navigation. ...
doi:10.1145/1459359.1459387
dblp:conf/mm/YangWLLHC08
fatcat:s7nthtjrxne4ndwzuebmcyu6cm
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