20.6.2.5 Advertising based on the User, Targeting

Chapter Contents (Back)
Advertising. Not detecting
See also Video Analysis, Find Ads, Find Commercials.

Mei, T.[Tao], Hua, X.S.[Xian-Sheng],
Contextual Internet Multimedia Advertising,
PIEEE(98), No. 8, August 2010, pp. 1416-1433.
IEEE DOI 1008
Ads with relevance to the media (images, video). BibRef

Tang, J.H.[Jin-Hui], Hua, X.S.[Xian-Sheng], Qi, G.J.[Guo-Jun], Song, Y.[Yan], Wu, X.Q.[Xiu-Qing],
Video Annotation Based on Kernel Linear Neighborhood Propagation,
MultMed(10), No. 4, June 2008, pp. 620-628.
IEEE DOI 0905
BibRef

Qi, G.J.[Guo-Jun], Hua, X.S.[Xian-Sheng], Rui, Y.[Yong], Tang, J.H.[Jin-Hui], Zha, Z.J.[Zheng-Jun], Zhang, H.J.[Hong-Jiang],
A joint appearance-spatial distance for kernel-based image categorization,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Zha, Z.J.[Zheng-Jun], Mei, T.[Tao], Wang, J.D.[Jing-Dong], Wang, Z.F.[Zeng-Fu], Hua, X.S.[Xian-Sheng],
Graph-based semi-supervised learning with multiple labels,
JVCIR(20), No. 2, February 2009, pp. 97-103.
Elsevier DOI 0903
Graph-based learning; Multiple labels; Semi-supervised learning; Video concept detection BibRef

Wang, J.D.[Jing-Dong], Zhao, Y.H.[Ying-Hai], Wu, X.Q.[Xiu-Qing], Hua, X.S.[Xian-Sheng],
A transductive multi-label learning approach for video concept detection,
PR(44), No. 10-11, October-November 2011, pp. 2274-2286.
Elsevier DOI 1101
Transductive learning; Multi-label interdependence; Video concept detection BibRef

Zhang, X.Y.[Xiao-Yu], Xu, C.S.[Chang-Sheng], Cheng, J.[Jian], Lu, H.Q.[Han-Qing], Ma, S.D.[Song-De],
Effective Annotation and Search for Video Blogs with Integration of Context and Content Analysis,
MultMed(11), No. 2, February 2009, pp. 272-285.
IEEE DOI 0905
BibRef

Wang, B.[Bo], Wang, J.Q.[Jin-Qiao], Duan, L.Y.[Ling-Yu], Tian, Q.[Qi], Lu, H.Q.[Han-Qing], Gao, W.[Wen],
Interactive Web Video Advertising with Context Analysis and Search,
ICPR10(3252-3255).
IEEE DOI 1008
BibRef

Mei, T.[Tao], Hua, X.S.[Xian-Sheng], Li, S.,
VideoSense: A Contextual In-Video Advertising System,
CirSysVideo(19), No. 12, December 2009, pp. 1866-1879.
IEEE DOI 0912
BibRef

Díaz Redondo, R.P., Fernández Vilas, A., Pazos Arias, J.J., Ramos Cabrer, M., Gil Solla, A., García Duque, J.,
Bringing Content Awareness to Web-Based IDTV Advertising,
SMC-C(42), No. 3, May 2012, pp. 324-333.
IEEE DOI 1204
BibRef

Wang, G.Y.[Guan-Yao], Zhuo, L.[Li], Li, J.[Jiafeng], Ren, D.Y.[Dong-Yue], Zhang, J.[Jing],
An efficient method of content-targeted online video advertising,
JVCIR(50), 2018, pp. 40-48.
Elsevier DOI 1802
Advertising insertion, Content-targeted, Key frame extraction, Scene boundary detection, Similarity measurement BibRef

Zhang, J., Wei, Z., Yan, Z., Zhou, M., Pani, A.,
Online Change-Point Detection in Sparse Time Series With Application to Online Advertising,
SMCS(49), No. 6, June 2019, pp. 1141-1151.
IEEE DOI 1906
Advertising, Predictive models, Time series analysis, Media, Data models, Noise measurement, Online advertising, sparse time series (TS) BibRef

Lou, K.[Kaihao], Yang, Y.J.[Yong-Jian], Wang, E.[En], Liu, Z.[Zheli], Baker, T.[Thar], Bashir, A.K.[Ali Kashif],
Reinforcement Learning Based Advertising Strategy Using Crowdsensing Vehicular Data,
ITS(22), No. 7, July 2021, pp. 4635-4647.
IEEE DOI 2107
Advertising, Vehicle dynamics, Task analysis, Learning (artificial intelligence), Switches, Trajectory, crowdsensing vehicular data BibRef

Lee, H.J.[Haeng-Ju], Eun, Y.[Yongsoon],
Advertisement Revenue and Exposure Optimization for Digital Screens in Subway Networks Using Smart Card Data,
ITS(23), No. 12, December 2022, pp. 24095-24104.
IEEE DOI 2212
Public transportation, Smart cards, Advertising, Data models, Scheduling, Optimization, Computational modeling, scheduling BibRef

Wang, S.[Shaokun], Gan, T.[Tian], Liu, Y.[Yuan], Wu, J.L.[Jian-Long], Cheng, Y.[Yuan], Nie, L.Q.[Li-Qiang],
Micro-Influencer Recommendation by Multi-Perspective Account Representation Learning,
MultMed(25), 2023, pp. 2749-2760.
IEEE DOI 2307
Social networking (online), Advertising, Media, Semantics, Multimedia Web sites, Measurement, Fuses, Influencer marketing, social media information BibRef


Chong, O.K.[Onn Keat], Goh, H.N.[Hui-Ngo], See, J.[John],
What Modality Matters? Exploiting Highly Relevant Features for Video Advertisement Insertion,
ICIP23(3344-3348)
IEEE DOI 2312
BibRef

Gampa, P.[Phanideep], Valsangkar, A.A.[Akash Anil], Choubey, S.[Shailesh], Pooja, A.,
Prioritised Moderation for Online Advertising,
MMCM23(2004-2012)
IEEE DOI 2309
BibRef

Wang, J.[Jarod], Mandaviya, C.[Chirag],
Can Machines Learn to Map Creative Videos to Marketing Campaigns?,
VAQuality23(504-510)
IEEE DOI 2302
Visualization, TV, Machine learning algorithms, Computational modeling, Current measurement, Estimation, Manuals BibRef

Koller, T.[Thomas], Grabner, H.[Helmut],
Who wants to be a Click-Millionaire? On the Influence of Thumbnails and Captions,
ICPR22(629-635)
IEEE DOI 2212
Analytical models, Video on demand, Correlation, Computational modeling, Natural languages, Predictive models, Metadata BibRef

Sun, Y.[Yu],
A Study on the Effect of Online Vertical Searching Advertising Presence Towards Customer Behavioral Intentions,
DHM21(II:374-389).
Springer DOI 2108
BibRef

Ikeda, J.[Jun], Seshime, H.[Hiroyuki], Wang, X.T.[Xue-Ting], Yamasaki, T.[Toshihiko],
Predicting Online Video Advertising Effects with Multimodal Deep Learning,
ICPR21(2995-3002)
IEEE DOI 2105
Deep learning, Correlation coefficient, TV, Training data, Metadata, Market research, Click through rate, multimodal learning BibRef

Mocanu, B.[Bogdan], Tapu, R.[Ruxandra], Zaharia, T.[Titus],
A Multimodal High Level Video Segmentation for Content Targeted Online Advertising,
ISVC20(II:506-517).
Springer DOI 2103
BibRef

Chae, Y., Nakazawa, M., Stenger, B.,
Enhancing Product Images for Click-Through Rate Improvement,
ICIP18(1428-1432)
IEEE DOI 1809
Histograms, Image color analysis, Visualization, Image enhancement, Feature extraction, Brightness, image enhancement, e-commerce BibRef

Irshad, S.[Shafaq], Rambli, D.R.A.[Dayang Rohaya Awang],
Advances in Mobile Augmented Reality from User Experience Perspective: A Review of Studies,
IVIC17(466-477).
Springer DOI 1711
BibRef
Earlier:
User Experience Satisfaction of Mobile-Based AR Advertising Applications,
IVIC15(432-442).
Springer DOI 1511
BibRef

Todorovic, A.[Aleksandar],
The boundless spaces of expanded multimedia,
WSSIP14(5-9) 1406
Advertising BibRef

Chatterjee, A., Sarkar, B., Chandraghatgi, P., Seal, K., Ananthakrishnan, G.,
Search based Video Recommendations,
NCVPRIPG13(1-5)
IEEE DOI 1408
advertising BibRef

Uribe, S., Fernandez-Cedron, I., Alvarez, F., Menendez, J.M., Nuez, J.L.,
Mobile TV Targeted Advertisement and Content Personalization,
WSSIP09(1-4).
IEEE DOI 0906
BibRef

Deng, J.[Jing], Chi, C.H.[Chi-Hung],
Local Web Advertisement Through Dynamic Active Proxy,
ICME00(TP11). 0007
BibRef

Chapter on Implementations and Applications, Databases, QBIC, Video Analysis, Hardware and Software, Inspection continues in
Multimedia, Audio-Visual Communications, Survey .


Last update:Mar 16, 2024 at 20:36:19