ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان
ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
Multimedia Data Mining is the sub branch of Data Mining. Multimedia Data mining further classified according to the multimedia data type that are image, audio, video. Mostly, Multimedia data mining covers the mining of image data, mining of audio data and mining of video data. Image-driven data mining methods are described for image content classification, segmentation and attribution, where each pixel location of an image-under-analysis is the centre point of a pixel-block query that returns an estimated class label. Feature attribute estimates may also be mined when sufficient attribute strata exist in the data warehouse. Novel methods are presented for pixel-block mining, pattern similarity scoring, class label assignments, and attribute mining. Audio mining is a technique by which the content of an audio signal can be automatically analyzed used and searched. It is most commonly used in the field of automatic speech recognition, where the analysis tries to identify any speech within the audio. User has needed to retrieve meaningful information from their digital collections. To help users find and retrieve relevant video more effectively and to facilitate new and better ways of entertainment, advanced technologies must be developed for indexing, filtering, searching, and mining the vast amount of videos.