3 research outputs found
Evaluation of Automatic Video Captioning Using Direct Assessment
We present Direct Assessment, a method for manually assessing the quality of
automatically-generated captions for video. Evaluating the accuracy of video
captions is particularly difficult because for any given video clip there is no
definitive ground truth or correct answer against which to measure. Automatic
metrics for comparing automatic video captions against a manual caption such as
BLEU and METEOR, drawn from techniques used in evaluating machine translation,
were used in the TRECVid video captioning task in 2016 but these are shown to
have weaknesses. The work presented here brings human assessment into the
evaluation by crowdsourcing how well a caption describes a video. We
automatically degrade the quality of some sample captions which are assessed
manually and from this we are able to rate the quality of the human assessors,
a factor we take into account in the evaluation. Using data from the TRECVid
video-to-text task in 2016, we show how our direct assessment method is
replicable and robust and should scale to where there many caption-generation
techniques to be evaluated.Comment: 26 pages, 8 figure
Dublin City University participation in the VTT track at TRECVid 2017
Dublin City University participated in the video-to-text caption generation task in TRECVid and this paper describes the three approaches we took for our 4 submitted runs. The first approach is based on extracting regularly-spaced keyframes from a video, generating a text caption for each keyframe and then combining the keyframe captions into a single caption. The second approach is based on detecting image crops from those keyframes using saliency map to include as much of the attractive part of the image as possible, generating a caption for each crop in each keyframe, and combining the captions into one. The third approach is an end-to-end system, a true deep learning submission based on MS-COCO, an externally available set of training captions. The paper presents a description and the official results of each of the approaches