scholarly journals Real-time motion planning methods for autonomous on-road driving: State-of-the-art and future research directions

2015 ◽  
Vol 60 ◽  
pp. 416-442 ◽  
Author(s):  
Christos Katrakazas ◽  
Mohammed Quddus ◽  
Wen-Hua Chen ◽  
Lipika Deka
Keyword(s):  
Motion Planning ◽  
Real Time ◽  
State Of The Art ◽  
Future Research ◽  
Research Directions ◽  
Time Motion ◽  
Planning Methods ◽  
Future Research Directions

How to Measure Memorability and Social Interestingness of Images: A Review

2017 ◽  
Vol 31 (02) ◽  
pp. 1754004 ◽  
Author(s):  
Xesca Amengual ◽  
Anna Bosch ◽  
Josep Lluís de la Rosa
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Real Time ◽  
State Of The Art ◽  
Future Research ◽  
The Internet ◽  
Visual Data ◽  
Research Directions ◽  
The Social ◽  
Future Research Directions

An entire industry has been developed around keyword optimization for buyers of advertising space. However, the social media landscape has shifted to photo-driven behaviors, and there is a need to overcome the challenge of analyzing the large amount of visual data that users post on the internet. We will address this analysis by providing a review on how to measure image and video interestingness and memorability from content that is tacked in real time on social networks. We will investigate state-of-the-art methods that are used to analyze social media images and present experiments that were performed to obtain comparable results based on the studied proposals and to determine which are the best characteristics and classifiers. Finally, we will discuss future research directions that could be beneficial to both users and companies.

scholarly journals Social commerce—state-of-the-art and future research directions

2016 ◽  
Vol 26 (3) ◽  
pp. 269-290 ◽  
Author(s):  
Catherine Baethge ◽  
Julia Klier ◽  
Mathias Klier
Keyword(s):  
State Of The Art ◽  
Future Research ◽  
Social Commerce ◽  
Research Directions ◽  
Future Research Directions

scholarly journals Beyond Intra-modality: A Survey of Heterogeneous Person Re-identification

2020 ◽  
Author(s):  
Zheng Wang ◽  
Zhixiang Wang ◽  
Yinqiang Zheng ◽  
Yang Wu ◽  
Wenjun Zeng ◽  
...  
Keyword(s):  
Video Analysis ◽  
State Of The Art ◽  
Future Research ◽  
Low Resolution ◽  
Research Directions ◽  
Comprehensive Review ◽  
Practical Applications ◽  
Future Research Directions

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID

Energy-Storage Modeling: State-of-the-Art and Future Research Directions

2021 ◽  
pp. 1-1
Author(s):  
Ramteen Sioshansi ◽  
Paul Denholm ◽  
Juan Arteaga ◽  
Sarah Awara ◽  
Shubhrajit Bhattacharjee ◽  
...  
Keyword(s):  
Energy Storage ◽  
State Of The Art ◽  
Future Research ◽  
Research Directions ◽  
Future Research Directions
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