Video sub-action parsing algorithm (ASP) on the frisby-catch action of THUMOS2014 dataset.

1.Please unzip the file codeUploadNew.rar. The code, data and result dirs represent the Matlab version of algorithm (Matlab 2014a is adopted), all the features and groundtruth of dataset and the running result of our ASP method.

2.In dir 'code', a_main.m is the main function. Before you start the a_main.m function. You should place your feature of dataset under the dir 'stipFeatureThumos'. An example of the feature file is included in the `stipFeatureThumos'.

3. In dir 'data', dir 'parameters' includes some parameters of ASP and SP. 'videoGrounTruth' is the ground truth of THUMOS'14: ambiguous segments, framerate and frames of videos, and the ground truth segments.'codeAll' and `confAll' are the BoW coding we've learned.

4.A video showing the result of ASP is attached together with its explanation doc file.

5.The paper 'Soft Video Parsing by Label Distribution Learning' is published at AAAI17. The extended version would be published at Frontiers of Computer Science. If you have any question, please contact [e-mail] or [e-mail].

请解压文件 codeUploadNew.rar。代码、数据及结果目录代表算法的 Matlab 版本（采用 Matlab 2014a），其中包含数据集的所有特征和真实值，以及我们 ASP 方法的运行结果。

在 'code' 目录下，a_main.m 为主函数。在启动 a_main.m 函数之前，您应将数据集的特征放置在 'stipFeatureThumos' 目录下。`stipFeatureThumos` 目录中包含特征文件的示例。

在 'data' 目录下，'parameters' 目录包含了 ASP 和 SP 的某些参数。'videoGrounTruth' 是 THUMOS'14 的真实值，包括模糊段、视频帧率以及视频帧的真实值段。'codeAll' 和 `confAll` 是我们学习到的 BoW 编码。

附有一段展示 ASP 结果的视频及其解释文档。

论文《基于标签分布学习的软视频解析》在 AAAI17 上发表。其扩展版将在《计算机科学前沿》上发表。如有任何疑问，请联系 [e-mail] 或 [e-mail]。