video question answering
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2021 ◽  
Author(s):  
Hui Wang ◽  
Dan Guo ◽  
Xian-Sheng Hua ◽  
Meng Wang

2021 ◽  
Author(s):  
Liang Peng ◽  
Shuangji Yang ◽  
Yi Bin ◽  
Guoqing Wang

2021 ◽  
Author(s):  
Fangtao Li ◽  
Ting Bai ◽  
Chenyu Cao ◽  
Zihe Liu ◽  
Chenghao Yan ◽  
...  

Author(s):  
Long Hoang Dang ◽  
Thao Minh Le ◽  
Vuong Le ◽  
Truyen Tran

Video Question Answering (Video QA) is a powerful testbed to develop new AI capabilities. This task necessitates learning to reason about objects, relations, and events across visual and linguistic domains in space-time. High-level reasoning demands lifting from associative visual pattern recognition to symbol like manipulation over objects, their behavior and interactions. Toward reaching this goal we propose an object-oriented reasoning approach in that video is abstracted as a dynamic stream of interacting objects. At each stage of the video event flow, these objects interact with each other, and their interactions are reasoned about with respect to the query and under the overall context of a video. This mechanism is materialized into a family of general-purpose neural units and their multi-level architecture called Hierarchical Object-oriented Spatio-Temporal Reasoning (HOSTR) networks. This neural model maintains the objects' consistent lifelines in the form of a hierarchically nested spatio-temporal graph. Within this graph, the dynamic interactive object-oriented representations are built up along the video sequence, hierarchically abstracted in a bottom-up manner, and converge toward the key information for the correct answer. The method is evaluated on multiple major Video QA datasets and establishes new state-of-the-arts in these tasks. Analysis into the model's behavior indicates that object-oriented reasoning is a reliable, interpretable and efficient approach to Video QA.


Author(s):  
Mansi Pandya ◽  
Arnav Parekhji ◽  
Aniket Shahane ◽  
Palak V. Chavan ◽  
Ramchandra S. Mangrulkar

2021 ◽  
pp. 108145
Author(s):  
Lianli Gao ◽  
Tangming Chen ◽  
Xiangpeng Li ◽  
Pengpeng Zeng ◽  
Lei Zhao ◽  
...  

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