Edit and Development of Image Information Recommendation System According to Sensibility Information

基于情感信息的图像信息推荐系统的编辑与开发

基本信息

批准号：
16500122
负责人：
WATANABE Makoto
金额：
$ 2.3万
依托单位：
Chiba University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2004
资助国家：
日本
起止时间：
2004 至 2005
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-16500122/
关键词：
Program Information Compressed Expression BGM Shot Cut Serif Volume

项目摘要

In this paper, automatic generation of summary image for program selection to assist audience who watch TV drama is proposed. Nowadays, along with the initiation of digital terrestrial broadcasting and popularization of hard dick DVD recorder, TV viewing audience have more opportunities to record, manage, and use a lot of image data. In the future, they will be in a difficult situation to screen the programs to watch or information to get among the vast amount of program contents. Summary image to assist them would be needed. Manual works such as indexing input or meaning of scene were required in many of the traditional study for image summary. In this study, specific data only (volume, BGM, the length of shot) in drama image is used in order to promote the further automation.As the purpose is to assist quick program selection, instead of connecting main sections sampled to fix the total length, it is designed that the summary image would consist of 5 seconds x 5 sections (total length : approximately 25 seconds). Reasonable 5-second section is sampled based on the specific data. Among the section (conversation) which the chance of the maximum volume is the most in 5 seconds, section (presentation by BGM) before and after the starting and ending point of BGM, and section (intense scene) which the change of the scene is the most in 5 seconds, the high rankings are selected. When the sections sampled are connected, the cutting point of the voice should be handled very carefully. The cutting points are changed to the minimum value of the quantity shift graph to avoid the voice stopped awkwardly. Practical drama scenes are adopted for sampling evaluation.

在本文中，提出了自动生成节目选择的摘要图像，以帮助观看电视剧的观众。如今，加上数字地面广播和硬dick DVD录音机的普及，电视观众还有更多的机会来录制，管理和使用大量图像数据。将来，他们将很难筛选观看或信息以在大量程序中获得的信息。需要为他们提供帮助的摘要图像。在许多传统研究中，需要手动作品，例如索引输入或场景的含义，以进行图像摘要。在这项研究中，仅使用特定数据（体积，bgm，镜头的长度），以促进进一步的自动化。目的是协助快速程序选择，而不是连接采样用于修复总长度的主段，而是摘要图像将由5秒x 5部分组成（总长度：总长度：大约25秒）。根据特定数据对合理的5秒部分进行采样。在（对话）中，最大音量的机会在5秒内最多的机会是在BGM的起点和结束点之前和之后的部分（BGM），以及该部分（激烈的场景），该场景的变化在5秒内是最多的，选择了高级排名。当连接采样的部分时，应非常仔细地处理声音的切割点。切割点更改为数量移位图的最小值，以避免声音尴尬地停止。采用实用的戏剧场景进行抽样评估。