Repository navigation
PDF Spec Annex H
Part of: PDF-Spec-Annexes
Navigation: PDF-Spec-Annex-G | PDF-Spec-Index | PDF-Spec-Annex-I
(informative)
EXAMPLE %PDF-1. 4 1 0 obj << /Type /Catalog /Outlines 2 0 R /Pages 3 0 R >> endobj 2 0 obj << /Type Outlines /Count 0 >> endobj 3 0 obj << /Type /Pages /Kids [ 4 0 R ] /Count 1 >> endobj 4 0 obj << /Type /Page /Parent 3 0 R /MediaBox [ 0 0 612 792 ] /Contents 5 0 R >> endobj 5 0 obj << /Length 35 >> stream … Page-marking operators … endstream endobj 6 0 obj [ /PDF ] endobj xref 0 7 0000000000 65535 f 0000000009 00000 n 0000000074 00000 n 0000000120 00000 n 0000000179 00000 n 0000000300 00000 n 0000000384 00000 n trailer << /Size 7 /Root 1 0 R >> startxref 408
/Resources << /ProcSet 6 0 R >> %%EOF
The example in H.3, "Simple Text String Example" is the classic 'Hello World' example built from the preceding example. It shows a single line of text consisting of the string Hello World , illustrating the use of fonts and
several text-related PDF operators. The string is displayed in 24-point Helvetica. Because Helvetica is one of the standard 14 fonts, no font descriptor is needed.
Table H.2 lists the objects in this example.
| Object number | Object type |
|---|---|
| 1 | Catalog (document catalog) |
| 2 | Outlines (outline dictionary) |
| 3 | Pages (page tree node) |
| 4 | Page (page object) |
| 5 | Content stream |
| 6 | Procedure set array |
| 7 | Font (Type 1 font) |
EXAMPLE /Font << /F1 7 0 R >>
Table H.2 - Objects in simple text string example
%PDF-1. 4 1 0 obj << /Type /Catalog /Outlines 2 0 R /Pages 3 0 R >> endobj 2 0 obj << /Type /Outlines /Count 0 >> endobj 3 0 obj << /Type /Pages /Kids [ 4 0 R ] /Count 1 >> endobj 4 0 obj << /Type /Page /Parent 3 0 R /MediaBox [ 0 0 612 792 ] /Contents 5 0 R /Resources << /ProcSet 6 0 R >> >> endobj 5 0 obj << /Length 73 >> stream BT /F1 24 Tf 100 100 Td ( Hello World ) Tj ET endstream endobj
6 0 obj [ /PDF /Text ] endobj 7 0 obj << /Type /Font /Subtype /Type1 /Name /F1 /BaseFont /Helvetica /Encoding /MacRomanEncoding >> endobj xref 0 8 0000000000 65535 f 0000000009 00000 n 0000000074 00000 n 0000000120 00000 n 0000000179 00000 n 0000000364 00000 n 0000000466 00000 n 0000000496 00000 n trailer << /Size 8 /Root 1 0 R >> startxref 625 %%EOF
The example in H.4, "Simple Graphics Example" draws a thin black line segment, a thick black dashed line segment, a filled and stroked rectangle, and a filled and stroked cubic Bézier curve. Table H.3 lists the objects in this example, and Figure H.1 shows the resulting output. (Each shape has a red border, and the rectangle is filled with light blue.)
Table H.3 - Objects in simple graphics example
| Object number | Object type |
|---|---|
| 1 | Catalog (document catalog) |
| 2 | Outlines (outline dictionary) |
| 3 | Pages (page tree node) |
| 4 | Page (page object) |
| 5 | Content stream |
| 6 | Procedure set array |
Figure H.1 - Output of the following example
EXAMPLE %PDF-1. 4 1 0 obj << /Type /Catalog /Outlines 2 0 R /Pages 3 0 R >> endobj 2 0 obj << /Type /Outlines /Count 0 >> endobj 3 0 obj << /Type /Pages /Kids [ 4 0 R ] /Count 1 >> endobj 4 0 obj << /Type /Page /Parent 3 0 R /MediaBox [ 0 0 612 792 ] /Contents 5 0 R /Resources << /ProcSet 6 0 R >> >> endobj 5 0 obj << /Length 883 >> stream % Draw a black line segment, using the default line width . 150 250 m 150 350 l S % Draw a thicker, dashed line segment . 4 w % Set line width to 4 points [ 4 6 ] 0 d % Set dash pattern to 4 units on, 6 units off 150 250 m 400 250 l S [ ] 0 d % Reset dash pattern to a solid line 1 w % Reset line width to 1 unit
% Draw a rectangle with a 1-unit red border, filled with light blue . 1.0 0.0 0.0 RG % Red for stroke color 0.5 0.75 1.0 rg % Light blue for fill color 200 300 50 75 re B % Draw a curve filled with gray and with a colored border . 0.5 0.1 0.2 RG 0.7 g 300 300 m 300 400 400 400 400 300 c b endstream endobj 6 0 obj [ /PDF ] endobj xref 0 7 0000000000 65535 f 0000000009 00000 n 0000000074 00000 n 0000000120 00000 n 0000000179 00000 n 0000000300 00000 n 0000001532 00000 n trailer << /Size 7 /Root 1 0 R >> startxref 1556 %%EOF
The example in H.5, "Page Tree Example" is a fragment of a PDF file illustrating the structure of the page tree for a large document. It contains the page tree nodes for a 62-page document. Figure H.2 shows the structure of this page tree. Numbers in the figure are object numbers corresponding to the objects in the example.
Figure H.2 - Page tree for the following example
EXAMPLE 337 0 obj << /Type /Pages /Kids [ 335 0 R 336 0 R ] /Count 62 >> endobj 335 0 obj << /Type /Pages /Parent 337 0 R /Kids [ 4 0 R 43 0 R 77 0 R 108 0 R 139 0 R 170 0 R ] /Count 36 >> endobj 336 0 obj << /Type /Pages /Parent 337 0 R /Kids [ 201 0 R 232 0 R 263 0 R 294 0 R 325 0 R ] /Count 26 >> endobj 4 0 obj << /Type /Pages /Parent 335 0 R /Kids [ 3 0 R 16 0 R 21 0 R 26 0 R
31 0 R 37 0 R ] /Count 6 >> endobj 43 0 obj << /Type /Pages /Parent 335 0 R /Kids [ 42 0 R 48 0 R 53 0 R 58 0 R 63 0 R 70 0 R ] /Count 6 >> endobj 77 0 obj << /Type /Pages /Parent 335 0 R /Kids [ 76 0 R 82 0 R 87 0 R 92 0 R 97 0 R 102 0 R ] /Count 6 >> endobj 108 0 obj << /Type /Pages /Parent 335 0 R /Kids [ 107 0 R 113 0 R 118 0 R 123 0 R 128 0 R 133 0 R ] /Count 6 >> endobj 139 0 obj << /Type /Pages /Parent 335 0 R /Kids [ 138 0 R 144 0 R 149 0 R 154 0 R 159 0 R 164 0 R ] /Count 6 >> endobj 170 0 obj << /Type /Pages
/Parent 335 0 R /Kids [ 169 0 R 175 0 R 180 0 R 185 0 R 190 0 R 195 0 R ] /Count 6 >> endobj 201 0 obj << /Type /Pages /Parent 336 0 R /Kids [ 200 0 R 206 0 R 211 0 R 216 0 R 221 0 R 226 0 R ] /Count 6 >> endobj 232 0 obj << /Type /Pages /Parent 336 0 R /Kids [ 231 0 R 237 0 R 242 0 R 247 0 R 252 0 R 257 0 R ] /Count 6 >> endobj 263 0 obj << /Type /Pages /Parent 336 0 R /Kids [ 262 0 R 268 0 R 273 0 R 278 0 R 283 0 R 288 0 R ] /Count 6 >> endobj 294 0 obj << /Type /Pages /Parent 336 0 R /Kids [ 293 0 R 299 0 R 304 0 R 309 0 R 314 0 R 319 0 R ] /Count 6
>> endobj 325 0 obj << /Type /Pages /Parent 336 0 R /Kids [ 324 0 R 330 0 R ] /Count 2 >> endobj
This section from a PDF file illustrates the structure of an outline hierarchy with six items. Example 1 in H.6, "Outline Hierarchy Example" shows the outline with all items open, as illustrated in Figure H.3.
| O n - screen a pp earance | O b j ect n u mber | Co u nt |
|---|---|---|
| Do c ument Se c tion 1 Se c tion 2 Subse c tion 1 Se c tion 3 Summary | 22 25 26 27 28 29 21 | 4 0 1 0 0 0 6 |
Figure H.3 - Document outline as displayed in Example 1
EXAMPLE 1 21 0 obj << /Type /Outlines /First 22 0 R /Last 29 0 R /Count 6 >> endobj 22 0 obj << /Title ( Document ) /Parent 21 0 R /Next 29 0 R /First 25 0 R /Last 28 0 R /Count 4 /Dest [ 3 0 R /XYZ 0 792 0 ] >> endobj 25 0 obj << /Title ( Section 1 ) /Parent 22 0 R /Next 26 0 R /Dest [ 3 0 R /XYZ null 701 null ] >> endobj 26 0 obj
<< /Title ( Section 2 ) /Parent 22 0 R /Prev 25 0 R /Next 28 0 R /First 27 0 R /Last 27 0 R /Count 1 /Dest [ 3 0 R /XYZ null 680 null ] >> endobj 27 0 obj << /Title ( Subsection 1 ) /Parent 26 0 R /Dest [ 3 0 R /XYZ null 670 null ] >> endobj 28 0 obj << /Title ( Section 3 ) /Parent 22 0 R /Prev 26 0 R /Dest [ 7 0 R /XYZ null 500 null ] >> endobj 29 0 obj << /Title ( Summary ) /Parent 21 0 R /Prev 22 0 R /Dest [ 8 0 R /XYZ null 199 null ] >> endobj
Example 2 in H.6, "Outline Hierarchy Example" is the same as Example 1, except that one of the outline items has been closed in the display. The outline appears as shown in Figure H.4.
| O n - screen a pp earance | O b j ect n u mber | Co u nt |
|---|---|---|
| Do c ument Se c tion 1 Se c tion 2 Se c tion 3 Summary | 21 | 3 0 -1 5 |
| Do c ument Se c tion 1 Se c tion 2 Se c tion 3 Summary | 22 | |
| Do c ument Se c tion 1 Se c tion 2 Se c tion 3 Summary | 25 | |
| Do c ument Se c tion 1 Se c tion 2 Se c tion 3 Summary | 26 | |
| Do c ument Se c tion 1 Se c tion 2 Se c tion 3 Summary | 28 | 0 |
| 29 | 0 |
Figure H.4 - Document outline as displayed in Example 2
EXAMPLE 2 21 0 obj << /Type /Outlines /First 22 0 R /Last 29 0 R /Count 5 >> endobj 22 0 obj << /Title ( Document ) /Parent 21 0 R
/Next 29 0 R /First 25 0 R /Last 28 0 R /Count 3 /Dest [ 3 0 R /XYZ 0 792 0 ] >> endobj 25 0 obj << /Title ( Section 1 ) /Parent 22 0 R /Next 26 0 R /Dest [ 3 0 R /XYZ null 701 null ] >> endobj 26 0 obj << /Title ( Section 2 ) /Parent 22 0 R /Prev 25 0 R /Next 28 0 R /First 27 0 R /Last 27 0 R /Count -1 /Dest [ 3 0 R /XYZ null 680 null ] >> endobj 27 0 obj << /Title ( Subsection 1 ) /Parent 26 0 R /Dest [ 3 0 R /XYZ null 670 null ] >> endobj 28 0 obj << /Title ( Section 3 ) /Parent 22 0 R /Prev 26 0 R /Dest [ 7 0 R /XYZ null 500 null ] >> endobj 29 0 obj << /Title ( Summary ) /Parent 21 0 R /Prev 22 0 R /Dest [ 8 0 R /XYZ null 199 null ] >> endobj
This example shows the structure of a PDF file as it is updated several times; it illustrates multiple body sections, cross-reference sections, and trailers. In addition, it shows that once an object has been assigned an object identifier, it keeps that identifier until the object is deleted, even if the object is altered. Finally, the example illustrates the reuse of cross-reference entries for objects that have been deleted, along with the incrementing of the generation number after an object has been deleted.
The original file is the example in H.2, "Minimal PDF File". The updates are divided into four stages, with the file saved after each stage:
- a) Four text annotations are added.
- b) The text of one of the annotations is altered.
- c) Two of the text annotations are deleted.
- d) Three text annotations are added.
The following sections show the segments added to the file at each stage. Throughout this example, objects are referred to by their object identifiers, which are made up of the object number and the generation number, rather than simply by their object numbers as in earlier examples. This is necessary because the example reuses object numbers; therefore, the objects they denote are not unique.
NOTE The tables in these sections show only those objects that are modified during the updating process. Objects from H.2, "Minimal PDF File" that are not altered during the update are not shown.
Four text annotations are added to the initial file and the file is saved. Table H.4 lists the objects involved in this update.
Table H.4 - Object usage after adding four text annotations
| Object identifier | Object type |
|---|---|
| 4 0 | Page (page object) |
| 7 0 | Annotation array |
| 8 0 | Annot (annotation dictionary) |
| 9 0 | Annot (annotation dictionary) |
| 10 0 | Annot (annotation dictionary) |
| 11 0 | Annot (annotation dictionary) |
The example in H.7.1, "Stage 1: Add Four Text Annotations" shows the lines added to the file by this update. The page object is updated because an Annots entry has been added to it. Note that the file's trailer now contains a Prev entry, which points to the original cross-reference section in the file, while the startxref value at the end of the trailer points to the cross-reference section added by the update.
EXAMPLE 4 0 obj << /Type /Page /Parent 3 0 R /MediaBox [ 0 0 612 792 ] /Contents 5 0 R /Resources << /ProcSet 6 0 R >> /Annots 7 0 R >> endobj 7 0 obj [ 8 0 R 9 0 R 10 0 R 11 0 R ] endobj 8 0 obj << /Type /Annot /Subtype /Text
PDF 32000-1:2008
/Rect [ 44 616 162 735 ] /Contents ( Text #1 ) /Open true >> endobj 9 0 obj << /Type /Annot /Subtype /Text /Rect [ 224 668 457 735 ] /Contents ( Text #2 ) /Open false >> endobj 10 0 obj << /Type /Annot /Subtype /Text /Rect [ 239 393 328 622 ] /Contents ( Text #3 ) /Open true >> endobj 11 0 obj << /Type /Annot /Subtype /Text /Rect [ 34 398 225 575 ] /Contents ( Text #4 ) /Open false >> endobj xref 0 1 0000000000 65535 f 4 1 0000000632 00000 n 7 5 0000000810 00000 n 0000000883 00000 n 0000001024 00000 n 0000001167 00000 n 0000001309 00000 n trailer << /Size 12 /Root 1 0 R /Prev 408 >> startxref 1452 %%EOF
One text annotation is modified and the file is saved. The example in H.7.2, "Stage 2: Modify Text of One Annotation" shows the lines added to the file by this update. Note that the file now contains two copies of the object with identifier 10 0 (the text annotation that was modified) and that the added cross-reference section points to the more recent version of the object. This added cross-reference section contains one subsection, which contains only an entry for the object that was modified. In addition, the Prev entry in the file's trailer has been updated to point to the cross-reference section added in the previous stage, while the startxref value at the end of the trailer points to the newly added cross-reference section.
EXAMPLE 10 0 obj << /Type /Annot /Subtype /Text /Rect [ 239 393 328 622 ] /Contents ( Modified Text #3 ) /Open true >> endobj xref 0 1 0000000000 65535 f 10 1 0000001703 00000 n trailer << /Size 12 /Root 1 0 R /Prev 1452 >> startxref 1855 %%EOF
Two text annotation are deleted and the file is saved. Table H.5 lists the objects updated.
Table H.5 - Object usage after deleting two text annotations
| Object identifier | Object type |
|---|---|
| 7 0 | Annotation array |
| 8 0 | Free |
| 9 0 | Free |
The Annots array is the only object that is written in this update. It is updated because it now contains two annotations fewer.
The example in H.7.3, "Stage 3: Delete Two Annotations" shows the lines added when the file was saved. Note that objects with identifiers 8 0 and 9 0 have been deleted, as can be seen from the fact that their entries in the cross-reference section end with the keyword f .
EXAMPLE 7 0 obj [ 10 0 R 11 0 R ] endobj xref 0 1 0000000008 65535 f 7 3 0000001978 00000 n 0000000009 00001 f 0000000000 00001 f trailer << /Size 12 /Root 1 0 R
/Prev 1855 >> startxref 2027 %%EOF
The cross-reference section added at this stage contains four entries, representing object number 0, the Annots array, and the two deleted text annotations.
- The cross-reference entry for object number 0 is updated because it is the head of the linked list of free entries and points to the entry for the newly freed object number 8. The entry for object number 8 points to the entry for object number 9 (the next free entry), while the entry for object number 9 is the last free entry in the cross-reference table, indicated by the fact that it points back to object number 0.
- The entries for the two deleted text annotations are marked as free and as having generation numbers of 1, which are used for any objects that reuse these cross-reference entries. Keep in mind that, although the two objects have been deleted, they are still present in the file. It is the cross-reference table that records the fact that they have been deleted.
The Prev entry in the trailer has again been updated so that it points to the cross-reference section added at the previous stage, and the startxref value points to the newly added cross-reference section.
Finally, three new text annotations are added to the file. Table H.6 lists the objects involved in this update.
Table H.6 - Object usage after adding three text annotations
| Object identifier | Object type |
|---|---|
| 7 0 | Annotation array |
| 8 1 | Annot (annotation dictionary) |
| 9 1 | Annot (annotation dictionary) |
| 12 0 | Annot (annotation dictionary) |
Object numbers 8 and 9, which were used for the two annotations deleted in the previous stage, have been reused; however, the new objects have been given a generation number of 1. In addition, the third text annotation added has been assigned the previously unused object identifier of 12 0.
The example in H.7.4, "Stage 4: Add Three Annotations" shows the lines added to the file by this update. The added cross-reference section contains five entries, corresponding to object number 0, the Annots array, and the three annotations added. The entry for object number 0 is updated because the previously free entries for object numbers 8 and 9 have been reused. The entry for object number 0 now shows that the cross-reference table has no free entries. The Annots array is updated to reflect the addition of the three text annotations.
EXAMPLE 7 0 obj [ 10 0 R 11 0 R 8 1 R 9 1 R 12 0 R ] endobj 8 1 obj << /Type /Annot /Subtype /Text
/Rect [ 58 657 172 742 ] /Contents ( New Text #1 ) /Open true >> endobj 9 1 obj << /Type /Annot /Subtype /Text /Rect [ 389 459 570 537 ] /Contents ( New Text #2 ) /Open false >> endobj 12 0 obj << /Type /Annot /Subtype /Text /Rect [ 44 253 473 337 ] /Contents ( New Text #3\203a longer text annotation which we will continue \ onto a second line ) /Open true >> endobj xref 0 1 0000000000 65535 f 7 3 0000002216 00000 n 0000002302 00001 n 0000002447 00001 n 12 1 0000002594 00000 n trailer << /Size 13 /Root 1 0 R /Prev 2027 >> startxref 2814 %%EOF
The annotation with object identifier 12 0 illustrates splitting a long text string across multiple lines, as well as the technique for including nonstandard characters in a string. In this case, the character is an ellipsis (…), which is character code 203 (octal) in PDFDocEncoding , the encoding used for text annotations.
As in previous updates, the trailer's Prev entry and startxref value have been updated.
H.8, "Structured Elements That Describe Hierarchical Lists" presents examples that illustrate how structured elements are used to describe hierarchical lists, such as a table of contents or an index.
The structured element's structure type entry ( S ) may have values that establish hierarchical relationships between entries in a table of content. The TOCI value specifies an individual member of a table of contents. The TOC value specifies a list made up of other table of contents items that are individual members of the table of contents and/or lists of table of contents items. (The trailing character in TOCI is an upper case 'I'.)
Figure H.5 shows the table of contents described by the example in H.8.1, "Table of Contents".
- Chapter One . . . . . . . . . 3
-
1.1 Section A . . . . . . . . 4
-
1.2 Section B . . . . . . . . 5
-
Chapter Two . . . . . . . . . 6
-
Chapter Three . . . . . . . . 7
- 3.1 Section A . . . . . . . . 8
Figure H.5 - Table of contents
Figure H.6 illustrates the association between marked content identifiers ( MCID ) and content. This illustration includes part of the stream object so you can see how the MCID entries are associated with the content in the table of contents.
Figure H.6 - Association between content and marked content identifiers
Figure H.7 shows how the relationships of the structure elements and their use of the TOC and TOCI structure types represent the structure of a table of contents. This figure also shows the relationship between the structured content elements and the marked content in the stream. Gray text indicates marked content identifiers (MCID).
Figure H.7 - Hierarchy of structure elements and relationship with marked content
4 0 obj <</Type /Page /Contents 5 0 R >> 5 0 obj <</Length 6 0 R >> stream /P <</MCID 1>> BDC BT T* (TABLE OF CONTENTS) Tj ET EMC /Lbl <</MCID 11>> BDC BT T* (1. ) Tj ET EMC /Reference <</MCID 12>> BDC BT (Chapter One ) Tj ET EMC /NonStruct <</MCID 13>> BDC BT (. . . . . . . . . ) Tj ET EMC /Reference <</MCID 14>> /BDC BT (3 ) Tj ET EMC /Lbl <</MCID 21>> BDC
BT T* (1.1 ) Tj ET EMC /Reference <</MCID 22>> BDC BT (Section A ) Tj ET EMC /NonStruct <</MCID 23>> BDC BT (. . . . . . . . ) Tj ET EMC /Reference <</MCID 24>> /BDC BT (4 ) Tj ET EMC /Lbl <</MCID 31>> BDC BT T* (1.2 ) Tj ET EMC /Reference <</MCID 32>> BDC BT (Section B ) Tj ET EMC /NonStruct <</MCID 33>> BDC BT (. . . . . . . . ) Tj ET EMC /Reference <</MCID 34>> /BDC BT (5 ) Tj ET EMC /Lbl <</MCID 41>> BDC BT T* (2. ) Tj ET EMC /Reference <</MCID 42>> BDC BT (Chapter Two ) Tj ET EMC /NonStruct <</MCID 43>> BDC BT (. . . . . . . . . ) Tj ET EMC /Reference <</MCID 44>> /BDC BT (6 ) Tj ET EMC /Lbl <</MCID 51>> BDC BT T* (3. ) Tj ET EMC /Reference <</MCID 52>> BDC BT (Chapter Three ) Tj ET EMC /NonStruct <</MCID 53>> BDC BT (. . . . . . . . ) Tj ET EMC /Reference <</MCID 54>> /BDC BT (7 ) Tj ET EMC /Lbl <</MCID 61>> BDC BT T* (3.1 ) Tj ET EM /Reference <</MCID 62>> BDC BT (Section A ) Tj ET EM /NonStruct <</MCID 63>> BDC BT (. . . . . . . . ) Tj ET EM /Reference <</MCID 64>> /BDC BT (8 ) Tj ET EMC endstream endobj 101 0 obj << /Type /StructElem /S /P /P 201 0 R /Pg 4 0 R /K 1 >> endobj 111 0 obj << /Type /StructElem /S /Lbl
/P 211 0 R /Pg 4 0 R /K 11 >> endobj 112 0 obj << /Type /StructElem /S /Reference /P 211 0 R /Pg 4 0 R /K 12 >> endobj 113 0 obj << /Type /StructElem /S /NonStruct /P 211 0 R /Pg 4 0 R /K 13 >> endobj 114 0 obj << /Type /StructElem /S /Reference /P 211 0 R /Pg 4 0 R /K 14 >> endobj objects 121-124, 131-134, 141-144, 151-154 and 161-164 referencing MCIDs 21-24, 31-34, 41-44, 51-54, and 61-64 are omitted in the interest of space. 201 0 obj << /Type /StructElem /S /Caption /P 400 0 R /K [101 0 R] >> endobj 211 0 obj << /Type /StructElem /S /TOCI /P 400 0 R /K [111 0 R 112 0 R 113 0 R 114 0 R] >> endobj 212 0 obj << /Type /StructElem /S /TOCI /P 301 0 R /K [121 0 R 122 0 R 123 0 R 124 0 R]
>> endobj 213 0 obj << /Type /StructElem /S /TOCI /P 301 0 R /K [131 0 R 132 0 R 133 0 R 134 0 R] >> endobj 214 0 obj << /Type /StructElem /S /TOCI /P 400 0 R /K [141 0 R 142 0 R 143 0 R 144 0 R] >> endobj 215 0 obj << /Type /StructElem /S /TOCI /P 400 0 R /K [151 0 R 152 0 R 153 0 R 154 0 R] >> endobj 216 0 obj << /Type /StructElem /S /TOCI /P 302 0 R /K [161 0 R 162 0 R 163 0 R 164 0 R] >> endobj 301 0 obj << /Type /StructElem /S /TOC /P 400 0 R /K [212 0 R 213 0 R] >> endobj 302 0 obj << /Type /StructElem /S /TOC /P 400 0 R /K [216 0 R] >> endobj 400 0 obj << /Type /StructElem /S TOC /K [201 0 R 211 0 R 301 0 R 214 0 R 215 0 R 302 0 R] >> endobj
The structured element's structure type entry ( S ) may have values that establish hierarchical relationships between entries in an index. The LI value specifies an individual index entry. The L value specifies a list made up of individual index entries and/or lists of index entries. (The trailing character in LI is an upper case 'I'.)
Figure H.8 shows the index described by the example in H.8.2, "Nested Lists".
Figure H.8 - Index
Figure H.9 shows how the relationships of the structure elements and their use of the L and LI structure types defines the structure of an index. This figure also shows the relationship between the structured content elements and the marked content in the stream. Gray text indicates marked content identifiers ( MCID ).
Figure H.9 - Hierarchy of structure elements and relationship with marked content
![Image](data:image/png;base64,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