Assoc. Prof. Francis Eng Hock Tay, National University of Singapore, Singapore
Research Area: Big data, Wearable Sensors, Design method & automation
Title: Video analytics using AI for e-commerce
Abstract: In e-commerce, facial recognition ability of video analytics AI for accurate user profiling can be of great importance. User profile to trace faces and generate predictive alarms can prevent unwanted incidents. The sentiments from the given video feed can be analysed and applied effectively. Motions can be detected and the object's motion measured and gestures can be determined accurately in real-time.
The proposed model termed Cycle-SUM adopts a new cycle consistent adversarial LSTM architecture that can effectively maximize the information preserving and compactness of the summary video. It consists of a frame selector and a cycle-consistent learning based evaluator.
The evaluator defines a learnable information preserving metric between original video and summary video and “supervises” the selector to identify the most informative frames to form the summary video.
There is a close relation between mutual information maximization and such cycle learning procedure. Experiments on two video summarization benchmark datasets validate the state-of-the art performance and superiority of the Cycle-SUM model over previous baselines.
Prof. Arumugam Dhanalakshmi, Wenzhou University, China
Research Area: Business ethics, customer relationship management, e-commerce and internet technology, Impact of E-commerce and IT on the Belt and Road Initiative
Title: Technological advancements in E-Commerce and Customer Relationship Management
Abstract: In the recent past, for any business to be successful it is absolute necessary to acquire, serve and retain the customers. The number of internet users for commercial purposes has led to the raise of E-Commerce. With a great demand in the global market, there is a drastic shift towards customer. There has been a remarkable progress in E-Commerce due to globalization which leads to substantial quantum of business at affordable price. Technologies used in E-Commerce include mobile commerce, electronic funds transfer, supply chain management, Internet marketing, Online transaction processing, Electronic data interchange, Inventory management systems and automated data collection systems. The technologies which are enabled by the internet has an enormous impact on Customer relationship management(CRM). The software associated with CRM automates the lead and sales processes by collecting information about the customers in a centralized place. These customers data are tracked and recorded in server logs which ultimately provides abundant amount of data that can be analysed to provide business decisions. Today, customers can manage relationship with vendors via vendor relationship management. This paper deals with the current trends in E-Commerce and the impact of technology in streamlining the CRM process thereby reducing the costs of CRM enterprises.