Watch it twice: video captioning with a refocused video encoder

Xiangxi Shi, Shafiq Joty, Jianfei Cai, Jiuxiang Gu

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

Abstract

With the rapid growth of video data and the increasing demands of various crossmodal applications such as intelligent video search and assistance towards visually-impaired people, video captioning task has received a lot of attention recently in computer vision and natural language processing fields. The state-of-the-art video captioning methods focus more on encoding the temporal information, while lacking effective ways to remove irrelevant temporal information and also neglecting the spatial details. In particular, the current unidirectional video encoder can be negatively affected by irrelevant temporal information, especially the irrelevant information at the beginning and at the end of a video. In addition, disregarding detailed spatial features may lead to incorrect word choices in decoding. In this paper, we propose a novel recurrent video encoding method and a novel visual spatial feature for the video captioning task. The recurrent encoding module encodes the video twice with a predicted key frame to avoid irrelevant temporal information often occurring at the beginning and at the end of a video. The novel spatial features represent spatial information from different regions of a video and provide the decoder with more detailed information. Experiments on two benchmark datasets show superior performance of the proposed method.

Original languageEnglish
Title of host publicationProceedings of the 27th ACM International Conference on Multimedia
EditorsGuillaume Gravier, Hayley Hung, Chong-Wah Ngo, Wei Tsang Ooi
Place of PublicationNew York NY USA
PublisherAssociation for Computing Machinery (ACM)
Pages818-826
Number of pages9
ISBN (Electronic)9781450368896, 9781450367936
DOIs
Publication statusPublished - 2019
EventACM International Conference on Multimedia 2019 - Nice, France
Duration: 21 Oct 201925 Oct 2019
Conference number: 27th
https://acmmm.org/

Conference

ConferenceACM International Conference on Multimedia 2019
Abbreviated titleMM 2019
CountryFrance
CityNice
Period21/10/1925/10/19
Internet address

Keywords

  • Key frame
  • Recurrent video encoding
  • Reinforcement learning
  • Video captioning

Cite this

Shi, X., Joty, S., Cai, J., & Gu, J. (2019). Watch it twice: video captioning with a refocused video encoder. In G. Gravier, H. Hung, C-W. Ngo, & W. T. Ooi (Eds.), Proceedings of the 27th ACM International Conference on Multimedia (pp. 818-826). Association for Computing Machinery (ACM). https://doi.org/10.1145/3343031.3351060