Computer-Assisted Color Database For Trend Forecasting

Gu, Wen; Liu, Xiaogang

doi:10.1109/cise.2010.5677219

Cited by 8 publications

(4 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similarly, Gu and Liu (2010) consider colour forecasting as a crucial task for fashion companies and purpose a computer-assisted colour database for colour forecasting. The main parts of their model are: (1) Colour information selecting and arrange, (2) Colour information transfer and processing.…”

Section: New Product Forecastingmentioning

confidence: 99%

“…Choi et al (2014) work is motivated by this strategy in which a forecasting model faces data and time constrains. They suggest the Fast fashion forecasting algorithm (3F) and apply it to 3 years of real sales data as well as on an artificial Electronics Consumer reservation prices Forecast model based on consumer reservation prices Xia and Wong (2014) Fashion products Pre-processing time series Seasonal discrete grey forecasting model Wong and Guo (2010) Fashion products Pre-processing sales data Hybrid intelligent sales forecasting model Fashion products Colour forecasting Comparison of different forecast methods Gu and Liu (2010) Fashion products Colour forecasting Computer-assisted colour database Choi et al (2014) Fashion products Fast fashion Fast fashion forecasting algorithm (F3) Ni and Fan (2011) Fashion products M-Commerce Two-stage forecasting model Piller and Lindgens (2012) Fashion products Co-creation Integration of customers database. The 3F is a hybrid model consisting of the grey model (GM) and the extended extreme learning machine (EELM).…”

Section: New Product Forecastingmentioning

confidence: 99%

See 1 more Smart Citation

A survey on retail sales forecasting and prediction in fashion markets

Beheshti-Kashi

Karimi

Thoben

et al. 2014

Systems Science & Control Engineering

View full text Add to dashboard Cite

Sales forecasting is an essential task in retailing. In particular, consumer-oriented markets such as fashion and electronics face uncertain demands, short life cycles and a lack of historical sales data which strengthen the challenges of producing accurate forecasts. This survey paper presents state-of-the-art methods in the sales forecasting research with a focus on fashion and new product forecasting. This study also reviews different strategies to the predictive value of user-generated content and search queries.

show abstract

Section: New Product Forecastingmentioning

confidence: 99%

Section: New Product Forecastingmentioning

confidence: 99%

A survey on retail sales forecasting and prediction in fashion markets

Beheshti-Kashi

Karimi

Thoben

et al. 2014

Systems Science & Control Engineering

View full text Add to dashboard Cite

show abstract

“…(2) Color is one critical element in fashion and it is highly related to the inventory and production planning of fashion apparel products. However, from the reviewed literature, only very few prior studies have examined color forecasting (such as [44,[50][51][52]65]). Thus, more studies on this topic can be conducted.…”

Section: Conclusion and Future Research Directionsmentioning

confidence: 99%

Sales Forecasting for Fashion Retailing Service Industry: A Review

Liu

Ren

Choi

et al. 2013

Mathematical Problems in Engineering

View full text Add to dashboard Cite

Sales forecasting is crucial for many retail operations. It is especially critical for the fashion retailing service industry in which product demand is very volatile and product's life cycle is short. This paper conducts a comprehensive literature review and selects a set of papers in the literature on fashion retail sales forecasting. The advantages and the drawbacks of different kinds of analytical methods for fashion retail sales forecasting are examined. The evolution of the respective forecasting methods over the past 15 years is revealed. Issues related to real-world applications of the fashion retail sales forecasting models and important future research directions are discussed.

show abstract

“…Despite various studies in fashion analysis, only a few works have been carried out to analyze the fashion trend. Fashion forecasting has been studied in [167][168][169] which used different statistical techniques and neural networks. However, these methods do not incorporate visual information, which is a crucial aspect of fashion.…”

Section: Introductionmentioning

confidence: 99%

Feature representation and learning methods in visual search applications

Manandhar¹

View full text Add to dashboard Cite

The contributions of the co-authors are as follows: • I conducted all the experiments based on the developed idea and prepared the manuscript. • Prof. Chau was involved in initial discussion of the project and ideas. • Dr. Zhenwei gave useful feedback while developing the codes and helped to revise the manuscript. • Prof. Yap closely supervised the entire work, provided insights on the idea, and gave suggestions for organization of manuscript and final submission. A part of Chapter 3 is published as Dipu Manandhar and Kim-Hui Yap. Feature repetitiveness similarity metrics in visual search.

show abstract

Computer-Assisted Color Database For Trend Forecasting

Cited by 8 publications

References 2 publications

A survey on retail sales forecasting and prediction in fashion markets

A survey on retail sales forecasting and prediction in fashion markets

Sales Forecasting for Fashion Retailing Service Industry: A Review

Feature representation and learning methods in visual search applications

Contact Info

Product

Resources

About