logging in or signing up info 2007 mm JJMiller Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 215 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: June 26, 2007 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Multimedia/Video Search : Multimedia/Video Search חיפוש מולטימדיה בדגש חוזי אריאל פרנק מחלקה למדעי המחשב אוניברסיטת בר-אילן ariel@cs.biu.ac.il Contents: 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 Multimedia Resources: 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) MM Search & Information Retrieval (MMIR): MM Search andamp; Information Retrieval (MMIR) Search andamp; 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? MM Search & Information Retrieval (MMIR): MM Search andamp; 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. Contents: 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 General SEs Sample: General SEs Sample Google (general, video) Yahoo (general, audio) AOL (general, video) MSN/Live (images, video) AltaVista (images, audio, video) Multimedia: Google: Multimedia: Google Multimedia: Google: Multimedia: Google Multimedia: Yahoo: Multimedia: Yahoo Yahoo Audio Search: Yahoo Audio Search Slide12: AOL Video Search: AOL Video Search MSN Live: MSN Live Multimedia: MSN Live: Multimedia: MSN Live AltaVista Multimedia Search: AltaVista Multimedia Search Contents: 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 Vertical SEs Sample: Vertical SEs Sample Picsearch (image) FindSounds (audio) SearchVideo (video) Clipblast! (video) Flurl (multimedia) Images: Picsearch : Images: Picsearch Picsearch Advanced Interface: Picsearch Advanced Interface Audio: FindSounds: Audio: FindSounds Types of Sounds: Types of Sounds Video: SearchVideo : Video: SearchVideo Video: Clipblast!: 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. Video: Clipblast: Video: Clipblast Multimedia: Flurl: Multimedia: Flurl Flurl list of sites: Flurl list of sites Contents: 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 Tag-based Search Sample: Tag-based Search Sample Flickr (image) Panoramio (image, maps) YouTube (video) Keotag (multimedia) Flickr: Flickr Flickr: Flickr Flickr: Flickr Image/Maps: Panoramio: Image/Maps: Panoramio Image/Maps: Panoramio: Image/Maps: Panoramio Image/Maps: Panoramio: Image/Maps: Panoramio Video: YouTube: Video: YouTube Keotag Meta-SE: Keotag Meta-SE Keotag Meta-SE: Keotag Meta-SE Contents: 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 “Content-based“ Image Search/Retrieval: '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. Content-based Search Sample: Content-based Search Sample Squid (image) retriever (image) Melodyhound (audio) Musipedia (music) Blinkx (video) Image: Squid: 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. Images: Squid: Images: Squid Images: Squid: Images: Squid Images: Squid: Images: Squid Images: Squid: Images: Squid Image: retriever: 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. Images: retriever: Images: retriever Images: retriever: Images: retriever Images: retriever: Images: retriever MelodyHound: MelodyHound MelodyHound: MelodyHound MelodyHound: MelodyHound MelodyHound: MelodyHound Musipedia: Musipedia Audio: MusiPedia: Audio: MusiPedia Music: Musipedia: Music: Musipedia Musipedia or Web Search?: Musipedia or Web Search? Video: Blinkx: Video: Blinkx World's largest and most advanced video search engine. Use of visual analysis and speech recognition to better understand rich media content. Advanced image and audio analysis techniques are used to automatically extract information about a video in real time and to create a rich index about the video content. Automatically and implicitly conducts searches based on the content being viewed by each individual user. With the advent of blinkx TV, users can now search and access news, movie trailers, popular multimedia segments and other video formats on demand. Video: Blinkx: Video: Blinkx Video: Blinkx: Video: Blinkx Blinkx TV Architecture: Blinkx TV Architecture Contents: 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 Video downloads: Video downloads Nearly none of the video search/sharing sites provide a simple one-click button to download video clips. If video download needed, various workarounds exist (ordered by preferred methods, if some not working): Right-click on link -andgt; 'Save Target/Link As'. Install/use the Firefox VideoDownloader Extension, from Mozilla addons site, to download video (and audio). Copy video link into KeepVid site and download from the provided link (usually saving it as FLV file). View -andgt; '(Page) Source', locate video filename/format, and look in its directory, or search for it (filetype:, contains:). Use Applian Technologies streaming capture applications to record streaming audio/video into a file. VideoDownloader: VideoDownloader A Mozilla Firefox Extension that downloads all embedded MM objects on a page including video. Just click the icon to download the watched video. VideoDownloader Keepvid: Keepvid “View Source” techniques: 'View Source' techniques How to get playing VideoDownloader Flash file?! “View Source” page: 'View Source' page File name/path search & save: File name/path search andamp; save Applian’s A/V Streaming Capture Suite: Applian’s A/V Streaming Capture Suite Replay A/V andamp; Media Catcher are the simplest and most powerful ways to capture Video and Audio from the Web on your PC. Capture Windows Media, Real, Streaming MP3, Streaming Flash Animations and Video. References: References Kate Greene, Better, More Accurate Image Search, Technology Review, April 9, 2007, http://www.technologyreview.com/Infotech/18501/ Kate Greene, Surfing TV on the Internet, Technology Review, April 18, 2007, http://www.technologyreview.com/Infotech/18545/ Amit Agarwal, 10 Interesting Things You Can Do with YouTube or Google Videos, Digital Inspiration (Blog), July 27, 2006, http://labnol.blogspot.com/2006/07/10-interesting-things-you-can-do-with.html Still Up(loaded) :-?): Still Up(loaded) :-?) You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.
info 2007 mm JJMiller Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: (To copy code, click on the text box) Embed: URL: Thumbnail: WordPress Embed Customize Embed The presentation is successfully added In Your Favorites. Views: 215 Category: Entertainment License: All Rights Reserved Like it (0) Dislike it (0) Added: June 26, 2007 This Presentation is Public Favorites: 1 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Multimedia/Video Search : Multimedia/Video Search חיפוש מולטימדיה בדגש חוזי אריאל פרנק מחלקה למדעי המחשב אוניברסיטת בר-אילן ariel@cs.biu.ac.il Contents: 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 Multimedia Resources: 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) MM Search & Information Retrieval (MMIR): MM Search andamp; Information Retrieval (MMIR) Search andamp; 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? MM Search & Information Retrieval (MMIR): MM Search andamp; 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. Contents: 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 General SEs Sample: General SEs Sample Google (general, video) Yahoo (general, audio) AOL (general, video) MSN/Live (images, video) AltaVista (images, audio, video) Multimedia: Google: Multimedia: Google Multimedia: Google: Multimedia: Google Multimedia: Yahoo: Multimedia: Yahoo Yahoo Audio Search: Yahoo Audio Search Slide12: AOL Video Search: AOL Video Search MSN Live: MSN Live Multimedia: MSN Live: Multimedia: MSN Live AltaVista Multimedia Search: AltaVista Multimedia Search Contents: 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 Vertical SEs Sample: Vertical SEs Sample Picsearch (image) FindSounds (audio) SearchVideo (video) Clipblast! (video) Flurl (multimedia) Images: Picsearch : Images: Picsearch Picsearch Advanced Interface: Picsearch Advanced Interface Audio: FindSounds: Audio: FindSounds Types of Sounds: Types of Sounds Video: SearchVideo : Video: SearchVideo Video: Clipblast!: 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. Video: Clipblast: Video: Clipblast Multimedia: Flurl: Multimedia: Flurl Flurl list of sites: Flurl list of sites Contents: 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 Tag-based Search Sample: Tag-based Search Sample Flickr (image) Panoramio (image, maps) YouTube (video) Keotag (multimedia) Flickr: Flickr Flickr: Flickr Flickr: Flickr Image/Maps: Panoramio: Image/Maps: Panoramio Image/Maps: Panoramio: Image/Maps: Panoramio Image/Maps: Panoramio: Image/Maps: Panoramio Video: YouTube: Video: YouTube Keotag Meta-SE: Keotag Meta-SE Keotag Meta-SE: Keotag Meta-SE Contents: 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 “Content-based“ Image Search/Retrieval: '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. Content-based Search Sample: Content-based Search Sample Squid (image) retriever (image) Melodyhound (audio) Musipedia (music) Blinkx (video) Image: Squid: 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. Images: Squid: Images: Squid Images: Squid: Images: Squid Images: Squid: Images: Squid Images: Squid: Images: Squid Image: retriever: 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. Images: retriever: Images: retriever Images: retriever: Images: retriever Images: retriever: Images: retriever MelodyHound: MelodyHound MelodyHound: MelodyHound MelodyHound: MelodyHound MelodyHound: MelodyHound Musipedia: Musipedia Audio: MusiPedia: Audio: MusiPedia Music: Musipedia: Music: Musipedia Musipedia or Web Search?: Musipedia or Web Search? Video: Blinkx: Video: Blinkx World's largest and most advanced video search engine. Use of visual analysis and speech recognition to better understand rich media content. Advanced image and audio analysis techniques are used to automatically extract information about a video in real time and to create a rich index about the video content. Automatically and implicitly conducts searches based on the content being viewed by each individual user. With the advent of blinkx TV, users can now search and access news, movie trailers, popular multimedia segments and other video formats on demand. Video: Blinkx: Video: Blinkx Video: Blinkx: Video: Blinkx Blinkx TV Architecture: Blinkx TV Architecture Contents: 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 Video downloads: Video downloads Nearly none of the video search/sharing sites provide a simple one-click button to download video clips. If video download needed, various workarounds exist (ordered by preferred methods, if some not working): Right-click on link -andgt; 'Save Target/Link As'. Install/use the Firefox VideoDownloader Extension, from Mozilla addons site, to download video (and audio). Copy video link into KeepVid site and download from the provided link (usually saving it as FLV file). View -andgt; '(Page) Source', locate video filename/format, and look in its directory, or search for it (filetype:, contains:). Use Applian Technologies streaming capture applications to record streaming audio/video into a file. VideoDownloader: VideoDownloader A Mozilla Firefox Extension that downloads all embedded MM objects on a page including video. Just click the icon to download the watched video. VideoDownloader Keepvid: Keepvid “View Source” techniques: 'View Source' techniques How to get playing VideoDownloader Flash file?! “View Source” page: 'View Source' page File name/path search & save: File name/path search andamp; save Applian’s A/V Streaming Capture Suite: Applian’s A/V Streaming Capture Suite Replay A/V andamp; Media Catcher are the simplest and most powerful ways to capture Video and Audio from the Web on your PC. Capture Windows Media, Real, Streaming MP3, Streaming Flash Animations and Video. References: References Kate Greene, Better, More Accurate Image Search, Technology Review, April 9, 2007, http://www.technologyreview.com/Infotech/18501/ Kate Greene, Surfing TV on the Internet, Technology Review, April 18, 2007, http://www.technologyreview.com/Infotech/18545/ Amit Agarwal, 10 Interesting Things You Can Do with YouTube or Google Videos, Digital Inspiration (Blog), July 27, 2006, http://labnol.blogspot.com/2006/07/10-interesting-things-you-can-do-with.html Still Up(loaded) :-?): Still Up(loaded) :-?)