Abstract
With the popularity of online shopping, people have used to shop commercial items on the online shopping websites for convenience. However, based on traditional text search methods, people usually can not find the interesting commercial item they want if they do not know its detailed information, e.g., the name and the seller. Therefore, a more convenient method to help people find the commercial item they want is desired. In this work, we develop a practical system, UbiShop, on mobile phones, whereby users can timely get the related information of interesting commercial items by taking pictures of them. Users can also obtain recommendations on visually similar commercial items to help their buying selections. With the observation that people’s preferences on commercial items usually simply depend on their partial visual styles, we propose a novel representation, Visual Part-based Object Representation (VPOR), for commercial item images. The concept of VPOR is to decompose an item image into a set of disjointed partitions, with each of them represents a meaningful semantic parts. User can thus assign non-uniform preferences on the different parts of the commercial item to obtain a personalized recommended results. The experimental results verify our observation and show that the proposed VPOR based commercial item recommendation can achieve better performance than existing text-based and visual-based methods according to the user study.
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Achanta R, Hemami S, Estrada F, Susstrunk S (2009) Frequency-tuned salient region detection. In: Proceedings CVPR, pp 1597–1604
Agrawal R, Srikant R (1994) Fast algorithms for mining association rules in large databases. In: Proceedings VLDB, pp 487–499
Arbeláez P, Hariharan B, Gu C, Gupta S, Bourdev L, Malik J (2012) Semantic segmentation using regions and parts. In: Proceedings CVPR, pp 3378–3385
Belongie S, Malik J, Puzicha J (2002) Shape matching and object recognition using shape contexts. IEEE Trans Pattern Anal Mach Intell 24(4):509–522
Berg TL, Berg AC, Shih J (2010) Automatic attribute discovery and characterization from noisy web data. In: Proceedings ECCV, pp 663–676
Chi H-Y, Cheng W-H, Chen M-S, Tsui AW (2014) MOSRO: Enabling mobile sensing for real-scene objects with grid based structured output learning. In: Proceedings MMM, pp 207–218
Creusen MEH, Schoormans JPL (2005) The different roles of product appearance in consumer choice. J Prod Innov Manag 22(1):63–81
Chen Y, Sampathkumar H, Luo B, Chen X-W (2013) iLike: Bridging the semantic gap in vertical image search by integrating text and visual features, vol 25, pp 2257–2270
Cao L, Fei-Fei L (2007) Spatially coherent latent topic model for concurrent segmentation and classification of objects and scenes. In: Proceedings ICCV, pp 1–8
Canny J (1986) A computational approach to edge detection. IEEE Trans Pattern Anal Mach Intell 8(6):679–698
De Borobia R, Gonalves P (2008) Consumer behavior: Product characteristics and quality perception. Mpra paper, University Library of Munich
Eslami S, Williams C (2012) A generative model for parts-based object segmentation. In: Advances in Neural Information Processing Systems, pp 100–107
Frey BJ, Dueck D (2007) Clustering by passing messages between data points. Science 315:972–976
Felzenszwalb PF, Girshick RB, McAllester D, Ramanan D (2010) Object detection with discriminatively trained part-based models. IEEE Trans Pattern Anal Mach Intell 32(9):1627–1645
Gorelick L, Galun M, Sharon E, Basri R, Brandt A (2006) Shape representation and classification using the poisson equation. IEEE Trans Pattern Anal Mach Intell 28:1991–2005
Gong B, Grauman K, Sha F (2013) Reshaping visual datasets for domain adaptation. In: Advances in Neural Information Processing Systems, pp 1286–1294
Girshick R, Donahue J, Darrell T, Malik J (2014) Rich feature hierarchies for accurate object detection and semantic segmentation. In: Proceedings CVPR, pp 580–587
Herv J, Douze M, Schmid C (2010) Improving bag-of-features for large scale image search. Int J Comput Vision 87:316–336
Hu Y, Xie X, Ma WY, Chia LT, Rajan D (2004) Salient region detection using weighted feature maps based on the human visual attention model. In: Pacifc-Rim Conference on Multimedia, pp 993–1000
Huang J-W, Hung Y-H, Chen M-S (2011) Groupbuyer: A personalized group buying event recommender system using social information filtering. In: Proceedings of the 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining
Huang J-W, Tseng C-Y, Chen M-C, Chen M-S (2011) Pisar: Progressive image search and recommendation system by auto-interpretation and user behavior. In: IEEE International Conference on Systems, Man, and Cybernetics, pp 1442–1447
Kraft DH, Meadow CT, Boyce BR (2007) Text information retrieval systems. Emerald Group Publishing Limited
Kuo Y-H, Cheng W-H, Lin H-T, Hsu WH (2012) Unsupervised semantic feature discovery for image object retrieval and tag refinement. IEEE Trans Multimed 14(4):1079–1090
Kim KJ, Ahn H (2008) A recommender system using GA k-means clustering in an online shopping market. Expert Syst Appl 34(2):1200–1209
Kim YS, Yum B-J, Song J, Myeon Kim S (2005) Development of a recommender system based on navigational and behavioral patterns of customers in e-commerce sites. Expert Syst Appl 28(2):381–393
Kuo Y-H, Lin H-T, Cheng W-H, Yang Y-H, Hsu WH (2011) Unsupervised auxiliary visual words discovery for large-scale image object retrieval. In: Proceedings CVPR, pp 905–912
Li H, Wang X, Tang J, Yi L, Xiao L (2011) iSearch: towards precise retrieval of item image. In: Proceedings of the Third International Conference on Internet Multimedia Computing and Service, pp 5–8
Ma Y-F, Zhang H-J (2003) Contrast-based image attention analysis by using fuzzy growing. In: Proceedings 11th ACM International Conference Multimedia, pp 374–381
Ma H, Zhou D, Liu C, Lyu MR, King I (2011) Recommender systems with social regularization. In: Proceedings of the 4th ACM International Conference on Web Search and Data Mining, pp 287– 296
Manjunath BS, Ohm J-R, Vasudevan VV, Yamada A (2001) Color and texture descriptors. IEEE Trans Circ Syst Video Technol 11(6):703–715
Norman DA (2003) Emotional Design: Why We Love (or Hate) Everyday Things. Basic Books
Nister D, Stewenius H (2006) Scalable recognition with a vocabulary tree. In: Proceedings CVPR, pp 2161–2168
Opelt A, Pinz A, Zisserman A (2006) A boundary-fragment-model for object detection. In: Proceedings ECCV, pp 575–588
Philbin J, Chum O, Isard M, Sivic J, Zisserman A (2007) Object retrieval with large vocabularies and fast spatial matching. In: Proceedings CVPR, pp 1–8
Park JS, Chen M-S, Philip SY (1995) An effective hash-based algorithm for mining association rules
Schafer JB, Konstan J, Riedi J (1999) Recommender systems in e-commerce. In: Proceedings of the 1st ACM Conference on Electronic Commerce, pp 158–166
Sivic J, Zisserman A (2009) Efficient visual search of videos cast as text retrieval. IEEE Trans Pattern Anal Mach Intell 31(4):591–606
Soh P-H, Lin Y-C, Chen M-S (2013) Recommendation for online social feeds by exploiting user response behavior. In: Proceedings of the 22Nd International Conference on World Wide Web Companion, pp 197–198
Soille P (2013) Morphological Image Analysis: Principles and Applications. Springer Science & Business Media
Tsai T-H, Cheng W-H, You C-W, Hu M-C, Tsui AW, Chi H-Y (2014) Learning and recognition of on-premise signs from weakly labeled street view images. IEEE Trans Image Process 23(3):1047–1059
Tang X, Ke L, Cui J, Wen F, Wang X (2012) Intentsearch: Capturing user intention for one-click internet image search. IEEE Trans Pattern Anal Mach Intell 34(7):1342–1353
Wang X, Zhang T (2011) Clothes search in consumer photos via color matching and attribute learning. In: Proceedings of the 19th ACM international conference on Multimedia, pp 1353–1356
Woods RE, Gonzalez RC, Eddins SL (2009) Digital Image Processing Using MATLAB. Gatesmark Publishing
Xiao W, Deng X-P, Liang L-L, Peng Q (2012) Interactive product image search with complex scenes
Yu A, Grauman K (2014) Fine-grained visual comparisons with local learning. In: Proceedings CVPR, pp 192–199
Yager RR (1988) On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Trans Syst, Man Cybern 18(1):183–190
Zheng Z, Ma H, Lyu MR, King I (2009) Wsrec: A collaborative filtering based web service recommender system. In: IEEE International Conference on Web Services, pp 437–444
Zhao B, Fei-Fei L, Xing EP (2010) Image segmentation with topic random field. In: Proceedings ECCV, pp 785–798
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Chi, HY., Chen, CC., Cheng, WH. et al. UbiShop: Commercial item recommendation using visual part-based object representation. Multimed Tools Appl 75, 16093–16115 (2016). https://doi.org/10.1007/s11042-015-2916-7
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DOI: https://doi.org/10.1007/s11042-015-2916-7