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Multimedia/Video Search. חיפוש מולטימדיה בדגש חוזי. אריאל פרנק מחלקה למדעי המחשב אוניברסיטת בר-אילן ariel@cs.biu.ac.il. Contents. Multimedia (MM) and search/retrieval Text-based MM search in General SEs Text-based MM search in Vertical SEs Tag-based MM search Content-based MM search
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Multimedia/Video Search חיפוש מולטימדיה בדגש חוזי אריאל פרנק מחלקה למדעי המחשב אוניברסיטת בר-אילן ariel@cs.biu.ac.il A. Frank
Contents • Multimedia (MM) and search/retrieval • Text-based MM search in General SEs • Text-based MM search in Vertical SEs • Tag-based MM search • Content-based MM search • Video downloads A. Frank
Multimedia Resources • תמונות (Pictures, Photos, Maps, Graphics,Animations) • שמע (Audio, Sounds) • מוסיקה(Music, MP3) • הקלטות (Radio, Podcasts, Speeches) • חוזי(Video, Flash, Vlogs) • סרטים (Movies, TV) A. Frank
MM Search & Information Retrieval (MMIR) • Search & information retrieval of multimedia objects is hard!! • Using SEs to find relevant, quality MM objects can be difficult and frustrating. • Sample query: find a movie that has a large mouse chasing a Persian cat with twins watching from above? A. Frank
MM Search & Information Retrieval (MMIR) • Common MM search is mainly text-based; the object text is derived from: • caption of the MM object • text surrounding the MM object • entire text of the containing page • filenames of MM object and the containing page • manual/automatic annotations • Recently, tag-based MM search is becoming effective (social computing). • Fortunately, long due, content-based MM search on the Web is forthcoming. A. Frank
Contents • Multimedia (MM) and search/retrieval • Text-based MM search in General SEs • Text-based MM search in Vertical SEs • Tag-based MM search • Content-based MM search • Video downloads A. Frank
General SEs Sample • Google (general, video) • Yahoo (general, audio) • AOL (general, video) • MSN/Live (images, video) • AltaVista (images, audio, video) A. Frank
Multimedia: Google A. Frank
Multimedia: Google A. Frank
Multimedia: Yahoo A. Frank
Yahoo Audio Search A. Frank
AOL Video Search A. Frank
MSN Live A. Frank
Multimedia: MSN Live A. Frank
AltaVista Multimedia Search A. Frank
Contents • Multimedia (MM) and search/retrieval • Text-based MM search in General SEs • Text-based MM search in Vertical SEs • Tag-based MM search • Content-based MM search • Video downloads A. Frank
Vertical SEs Sample • Picsearch (image) • FindSounds (audio) • SearchVideo (video) • Clipblast! (video) • Flurl (multimedia) A. Frank
Images: Picsearch A. Frank
Picsearch Advanced Interface A. Frank
Audio: FindSounds A. Frank
Types of Sounds A. Frank
Video: SearchVideo A. Frank
Video: Clipblast! • Organizes and makes the video Web relevant, fast and simple to navigate. • Video Search and Navigation technology makes it easy to search, browse and personalize the video that viewers want, when they want it. • Crawls the entire Web for all video content available, indexing more video content providers than any other video search engine. • Largest video distribution platform ever. A. Frank
Video: Clipblast A. Frank
Multimedia: Flurl A. Frank
Flurl list of sites A. Frank
Contents • Multimedia (MM) and search/retrieval • Text-based MM search in General SEs • Text-based MM search in Vertical SEs • Tag-based MM search • Content-based MM search • Video downloads A. Frank
Tag-based Search Sample • Flickr (image) • Panoramio (image, maps) • YouTube (video) • Keotag (multimedia) A. Frank
Flickr A. Frank
Flickr A. Frank
Flickr A. Frank
Image/Maps: Panoramio A. Frank
Image/Maps: Panoramio A. Frank
Image/Maps: Panoramio A. Frank
Video: YouTube A. Frank
Keotag Meta-SE A. Frank
Keotag Meta-SE A. Frank
Contents • Multimedia (MM) and search/retrieval • Text-based MM search in General SEs • Text-based MM search in Vertical SEs • Tag-based MM search • Content-based MM search • Video downloads A. Frank
“Content-based“ Image Search/Retrieval • “Content based” image DB or Web site(s)that contain a large number of images. • Image analysis techniques used to describe images by their extracted visual features such as color, texture, shape and orientation. • These objects can be represented by sets of image features and then compared with the sets extracted from other images. • Feature sets are described by their statistics, and the computer searches for statistically likely matches. • Queries can be formulated in terms of visual features or by similarity options. A. Frank
Content-based Search Sample • Squid (image) • retriever (image) • Melodyhound (audio) • Musipedia (music) • Blinkx (video) A. Frank
Image: Squid • Has about 1100 images of marine creatures in its database. • Each image shows one distinct species on a uniform background. • Every image is processed to recover the boundary contour, which is then represented by three global shape parameters and the maxima of the curvature zero-crossing contours in its Curvature Scale Space (CSS) image. A. Frank
Images: Squid A. Frank
Images: Squid A. Frank
Images: Squid A. Frank
Images: Squid A. Frank
Image: retriever • Experimental service which lets you search and explore in a selection of Flickr images by drawing a rough sketch. • Matches the most pronounced shapes and slabs of colors. • The results are usually fairly good, sometimes even stunning, • But it doesn't do object/face recognition of any kind, so if drawing an outline sketch of a chair, it almost certainly won't get you one back. A. Frank
Images: retriever A. Frank
Images: retriever A. Frank
Images: retriever A. Frank